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Adaptive Clinical Trial Design with nQuery
<!doctype html><html lang="en-us"><head> <meta charset="utf-8"> <title>Adaptive Clinical Trial Design with nQuery</title> <link rel="shortcut icon" href="https://www.statsols.com/hubfs/nQuery%20clinical%20trial%20design%20software%20icon.png"> <meta name="description" content="From group sequential designs to sample size re-estimation, design and analyze a wide range of adaptive designs with nQuery"> <meta name="viewport" content="width=device-width, initial-scale=1"> <script src="/hs/hsstatic/jquery-libs/static-1.4/jquery/jquery-1.11.2.js"></script> <script>hsjQuery = window['jQuery'];</script> <meta property="og:description" content="From group sequential designs to sample size re-estimation, design and analyze a wide range of adaptive designs with nQuery"> <meta property="og:title" content="Adaptive Clinical Trial Design with nQuery"> <meta name="twitter:description" content="From group sequential designs to sample size re-estimation, design and analyze a wide range of adaptive designs with nQuery"> <meta name="twitter:title" content="Adaptive Clinical Trial Design with nQuery"> <style> a.cta_button{-moz-box-sizing:content-box !important;-webkit-box-sizing:content-box !important;box-sizing:content-box !important;vertical-align:middle}.hs-breadcrumb-menu{list-style-type:none;margin:0px 0px 0px 0px;padding:0px 0px 0px 0px}.hs-breadcrumb-menu-item{float:left;padding:10px 0px 10px 10px}.hs-breadcrumb-menu-divider:before{content:'›';padding-left:10px}.hs-featured-image-link{border:0}.hs-featured-image{float:right;margin:0 0 20px 20px;max-width:50%}@media (max-width: 568px){.hs-featured-image{float:none;margin:0;width:100%;max-width:100%}}.hs-screen-reader-text{clip:rect(1px, 1px, 1px, 1px);height:1px;overflow:hidden;position:absolute !important;width:1px} </style> <link rel="stylesheet" href="https://www.statsols.com/hs-fs/hub/488764/hub_generated/template_assets/130521435988/1729287983428/nquery-theme/cli-build/css/styles.min.css"> <link rel="stylesheet" href="https://www.statsols.com/hs-fs/hub/488764/hub_generated/template_assets/130515235912/1723206765330/nquery-theme/css/main.min.css"> <link rel="stylesheet" href="https://www.statsols.com/hs-fs/hub/488764/hub_generated/template_assets/130515336359/1725989622564/nquery-theme/css/theme-overrides.min.css"> <link rel="stylesheet" href="https://www.statsols.com/hs-fs/hub/488764/hub_generated/module_assets/131433263946/1726837309233/module_131433263946_floating-texture.min.css"> <style> #hs_cos_wrapper_module_170500823504218 .button-wrapper { text-align:LEFT; 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-ms-flex-pack: center !important; display: flex !important; flex-direction: column !important; justify-content: center !important; } .cell_170500841085415-vertical-alignment > div { flex-shrink: 0 !important; } .cell_170500841085415-row-0-vertical-alignment > .row-fluid { display: -ms-flexbox !important; -ms-flex-direction: row; display: flex !important; flex-direction: row; } .module_170500841085419-vertical-alignment { display: -ms-flexbox !important; -ms-flex-direction: column !important; -ms-flex-pack: center !important; display: flex !important; flex-direction: column !important; justify-content: center !important; } .module_170500841085419-vertical-alignment > div { flex-shrink: 0 !important; } .cell_170500841085414-vertical-alignment { display: -ms-flexbox !important; -ms-flex-direction: column !important; -ms-flex-pack: center !important; display: flex !important; flex-direction: column !important; justify-content: center !important; } .cell_170500841085414-vertical-alignment > div { flex-shrink: 0 !important; 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-ms-flex-direction: column !important; -ms-flex-pack: center !important; display: flex !important; flex-direction: column !important; justify-content: center !important; } .module_170500841085425-vertical-alignment > div { flex-shrink: 0 !important; } .cell_170500841085420-vertical-alignment { display: -ms-flexbox !important; -ms-flex-direction: column !important; -ms-flex-pack: center !important; display: flex !important; flex-direction: column !important; justify-content: center !important; } .cell_170500841085420-vertical-alignment > div { flex-shrink: 0 !important; } .cell_170500841085420-row-0-vertical-alignment > .row-fluid { display: -ms-flexbox !important; -ms-flex-direction: row; display: flex !important; flex-direction: row; } .module_170500841085423-vertical-alignment { display: -ms-flexbox !important; -ms-flex-direction: column !important; -ms-flex-pack: center !important; display: flex !important; flex-direction: column !important; justify-content: center !important; } .module_170500841085423-vertical-alignment > div { flex-shrink: 0 !important; } } /* HubSpot Styles (default) */ .dnd_area-row-0-background-layers { background-image: linear-gradient(rgba(21, 36, 48, 1), rgba(21, 36, 48, 1)) !important; background-position: left top !important; background-size: auto !important; background-repeat: no-repeat !important; } .dnd_area-row-1-padding { padding-top: 80px !important; padding-bottom: 32px !important; } .dnd_area-row-2-padding { padding-top: 40px !important; padding-bottom: 40px !important; } .dnd_area-row-3-padding { padding-top: 40px !important; padding-bottom: 40px !important; } .dnd_area-row-4-padding { padding-top: 40px !important; padding-bottom: 40px !important; } .dnd_area-row-5-padding { padding-top: 40px !important; padding-bottom: 120px !important; } .dnd_area-row-6-padding { padding-top: 120px !important; padding-bottom: 40px !important; } .dnd_area-row-6-background-layers { background-image: linear-gradient(rgba(243, 243, 239, 1), rgba(243, 243, 239, 1)) !important; background-position: left top !important; background-size: auto !important; background-repeat: no-repeat !important; } .dnd_area-row-7-padding { padding-top: 0px !important; padding-bottom: 32px !important; } .dnd_area-row-7-background-layers { background-image: linear-gradient(rgba(243, 243, 239, 1), rgba(243, 243, 239, 1)) !important; background-position: left top !important; background-size: auto !important; background-repeat: no-repeat !important; } .dnd_area-row-8-padding { padding-top: 0px !important; padding-bottom: 120px !important; } .dnd_area-row-8-background-layers { background-image: linear-gradient(rgba(243, 243, 239, 1), rgba(243, 243, 239, 1)) !important; background-position: left top !important; background-size: auto !important; background-repeat: no-repeat !important; } .dnd_area-row-9-padding { padding-top: 120px !important; padding-bottom: 40px !important; } .dnd_area-row-10-padding { padding-top: 64px !important; padding-bottom: 0px !important; } .dnd_area-row-11-padding { padding-top: 120px !important; padding-bottom: 40px !important; } .dnd_area-row-12-padding { padding-top: 0px !important; 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data-hs-cos-type="rich_text"><p style="font-size: 19px;"><span style="color: #ffffff;">Adaptive trials can reduce the length of your trial by up to 30%</span></p></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-4 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500823504217" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><!-- module html --> <div class="relative z-0 hidden lg:block"> <div class="absolute top-0 z-0" style="transform: translate(-158%, -140%); "> <img class="block" src="https://www.statsols.com/hs-fs/hubfs/Cookie-34.png?width=140&height=140&name=Cookie-34.png" alt="Cookie-34" loading="lazy" width="140" height="140" 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data-hs-cos-general-type="widget" data-hs-cos-type="module"> <div class="hs-video-widget" data-hsv-embed-id="69ad490e-c2e6-417b-9a0a-689d3411b2a8"> <div class="hs-video-container" style="margin: 0 auto;"> <div class="hs-video-wrapper" style="position: relative; height: 0; padding-bottom: 50.99%"> <iframe data-hsv-src="https://play.hubspotvideo.com/v/488764/id/154318878810?play_button_color=ffffff&autoplay=true&loop=true&muted=true" referrerpolicy="origin" sandbox="allow-forms allow-scripts allow-same-origin allow-popups" allow="autoplay; fullscreen;" style="position: absolute !important; width: 100% !important; height: 100% !important; left: 0; top: 0; border: 0 none; pointer-events: initial" title="HubSpot Video" loading="lazy" data-hsv-id="154318878810" data-hsv-play-button-color="ffffff" data-hsv-width="1920" data-hsv-height="979" data-hsv-autoplay="true" data-hsv-loop="true" data-hsv-muted="true" data-hsv-full-width="true"></iframe> </div> </div> </div> </div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-7 dnd_area-row-1-padding dnd-section"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-8 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_17050082246975" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_17050082246975_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h2 style="text-align: center; font-size: 39px;">More efficient, informative & ethical adaptive clinical trials</h2></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-9 dnd_area-row-2-padding dnd-section stack-reverse dnd_area-row-2-max-width-section-centering dnd_area-row-2-vertical-alignment"> <div class="row-fluid "> <div class="span4 widget-span widget-type-cell cell_17050082792278-vertical-alignment dnd-column" style="" data-widget-type="cell" data-x="0" data-w="4"> <div class="row-fluid-wrapper row-depth-1 row-number-10 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500827922713" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500827922713_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h3>Reduce Trial Costs</h3></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-11 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500827922714" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500827922714_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><p>Use adaptive designs like group sequential design to facilitate early interim decisions to ensure an efficient and ethical conclusion to your trial.</p></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> <div class="span8 widget-span widget-type-cell cell_17050082792279-vertical-alignment dnd-column" style="" data-widget-type="cell" data-x="4" data-w="8"> <div class="row-fluid-wrapper row-depth-1 row-number-12 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_widget_1705623659262" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-linked_image shadow-img" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <span id="hs_cos_wrapper_widget_1705623659262_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="linked_image"><img src="https://www.statsols.com/hs-fs/hubfs/grpsqtl-1-adaptive.png?width=1504&name=grpsqtl-1-adaptive.png" class="hs-image-widget " style="width:1504px;border-width:0px;border:0px;" width="1504" alt="grpsqtl-1-adaptive" title="grpsqtl-1-adaptive" srcset="https://www.statsols.com/hs-fs/hubfs/grpsqtl-1-adaptive.png?width=752&name=grpsqtl-1-adaptive.png 752w, https://www.statsols.com/hs-fs/hubfs/grpsqtl-1-adaptive.png?width=1504&name=grpsqtl-1-adaptive.png 1504w, https://www.statsols.com/hs-fs/hubfs/grpsqtl-1-adaptive.png?width=2256&name=grpsqtl-1-adaptive.png 2256w, https://www.statsols.com/hs-fs/hubfs/grpsqtl-1-adaptive.png?width=3008&name=grpsqtl-1-adaptive.png 3008w, https://www.statsols.com/hs-fs/hubfs/grpsqtl-1-adaptive.png?width=3760&name=grpsqtl-1-adaptive.png 3760w, https://www.statsols.com/hs-fs/hubfs/grpsqtl-1-adaptive.png?width=4512&name=grpsqtl-1-adaptive.png 4512w" sizes="(max-width: 1504px) 100vw, 1504px"></span> </div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-13 dnd_area-row-3-max-width-section-centering dnd-section dnd_area-row-3-padding dnd_area-row-3-vertical-alignment"> <div class="row-fluid "> <div class="span8 widget-span widget-type-cell cell_17050082863148-vertical-alignment cell_17050082863148-margin dnd-column" style="" data-widget-type="cell" data-x="0" data-w="8"> <div class="row-fluid-wrapper row-depth-1 row-number-14 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_widget_1705623681118" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-linked_image shadow-img" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <span id="hs_cos_wrapper_widget_1705623681118_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="linked_image"><img src="https://www.statsols.com/hs-fs/hubfs/adapt-2-ensure.png?width=1504&name=adapt-2-ensure.png" class="hs-image-widget " style="width:1504px;border-width:0px;border:0px;" width="1504" alt="adapt-2-ensure" title="adapt-2-ensure" srcset="https://www.statsols.com/hs-fs/hubfs/adapt-2-ensure.png?width=752&name=adapt-2-ensure.png 752w, https://www.statsols.com/hs-fs/hubfs/adapt-2-ensure.png?width=1504&name=adapt-2-ensure.png 1504w, https://www.statsols.com/hs-fs/hubfs/adapt-2-ensure.png?width=2256&name=adapt-2-ensure.png 2256w, https://www.statsols.com/hs-fs/hubfs/adapt-2-ensure.png?width=3008&name=adapt-2-ensure.png 3008w, https://www.statsols.com/hs-fs/hubfs/adapt-2-ensure.png?width=3760&name=adapt-2-ensure.png 3760w, https://www.statsols.com/hs-fs/hubfs/adapt-2-ensure.png?width=4512&name=adapt-2-ensure.png 4512w" sizes="(max-width: 1504px) 100vw, 1504px"></span> </div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> <div class="span4 widget-span widget-type-cell cell_17050082863149-vertical-alignment dnd-column" style="" data-widget-type="cell" data-x="8" data-w="4"> <div class="row-fluid-wrapper row-depth-1 row-number-15 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500828631415" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500828631415_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h3>Ensure Trial Success</h3></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-16 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500828631416" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500828631416_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><p>Avoid under or overpowered trials by using sample size re-estimation to adjust the sample size based on your blinded or unblinded interim results.</p></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-17 dnd-section stack-reverse dnd_area-row-4-max-width-section-centering dnd_area-row-4-padding dnd_area-row-4-vertical-alignment"> <div class="row-fluid "> <div class="span5 widget-span widget-type-cell cell_17050082923648-vertical-alignment cell_17050082923648-margin dnd-column" style="" data-widget-type="cell" data-x="0" data-w="5"> <div class="row-fluid-wrapper row-depth-1 row-number-18 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500829236413" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500829236413_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h3>Design Complex Trials</h3></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-19 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500829236414" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500829236414_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><p>Investigate multiple treatments and dynamically drop or add trial arms using multi-arm, multi-stage (MAMS) designs</p></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> <div class="span7 widget-span widget-type-cell cell_17050082923649-vertical-alignment dnd-column" style="" data-widget-type="cell" data-x="5" data-w="7"> <div class="row-fluid-wrapper row-depth-1 row-number-20 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_widget_1705623706893" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-linked_image shadow-img" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <span id="hs_cos_wrapper_widget_1705623706893_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="linked_image"><img src="https://www.statsols.com/hs-fs/hubfs/adapt-3-design.png?width=1504&name=adapt-3-design.png" class="hs-image-widget " style="width:1504px;border-width:0px;border:0px;" width="1504" alt="adapt-3-design" title="adapt-3-design" srcset="https://www.statsols.com/hs-fs/hubfs/adapt-3-design.png?width=752&name=adapt-3-design.png 752w, https://www.statsols.com/hs-fs/hubfs/adapt-3-design.png?width=1504&name=adapt-3-design.png 1504w, https://www.statsols.com/hs-fs/hubfs/adapt-3-design.png?width=2256&name=adapt-3-design.png 2256w, https://www.statsols.com/hs-fs/hubfs/adapt-3-design.png?width=3008&name=adapt-3-design.png 3008w, https://www.statsols.com/hs-fs/hubfs/adapt-3-design.png?width=3760&name=adapt-3-design.png 3760w, https://www.statsols.com/hs-fs/hubfs/adapt-3-design.png?width=4512&name=adapt-3-design.png 4512w" sizes="(max-width: 1504px) 100vw, 1504px"></span> </div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-21 dnd-section dnd_area-row-5-padding"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-22 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_17050080836147" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <div class="button-wrapper"> <a class="button" href="https://www.statsols.com/nquery-demo?hsLang=en-us"> Get Started </a> </div></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-23 dnd_area-row-6-padding dnd-section dnd_area-row-6-max-width-section-centering dnd_area-row-6-background-layers dnd_area-row-6-background-color"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-24 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_17050081261207" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_17050081261207_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h2 style="text-align: center; font-size: 39px;">Use nQuery Adapt to optimize your sample size for sophisticated adaptive clinical trials<span style="color: #515c62;"></span></h2></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-25 dnd_area-row-7-background-color dnd_area-row-7-background-layers dnd-section dnd_area-row-7-max-width-section-centering dnd_area-row-7-padding"> <div class="row-fluid "> <div class="span4 widget-span widget-type-cell cell_170500813490110-margin dnd-column" style="" data-widget-type="cell" data-x="0" data-w="4"> <div class="row-fluid-wrapper row-depth-1 row-number-26 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget module_170500813490115-flexbox-positioning dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500813490115" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <span id="hs_cos_wrapper_module_170500813490115_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="linked_image"><img src="https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=48&height=48&name=circle-check.png" class="hs-image-widget " width="48" height="48" style="max-width: 100%; height: auto;" alt="circle-check" title="circle-check" loading="lazy" srcset="https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=24&height=24&name=circle-check.png 24w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=48&height=48&name=circle-check.png 48w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=72&height=72&name=circle-check.png 72w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=96&height=96&name=circle-check.png 96w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=120&height=120&name=circle-check.png 120w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=144&height=144&name=circle-check.png 144w" sizes="(max-width: 48px) 100vw, 48px"></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-27 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500813490116" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500813490116_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h3 style="font-size: 23px; margin-bottom: 18px;">Group Sequential Design</h3> <p>Stop trials early using spending function, Wang-Tsiatis, Haybittle-Peto and more</p></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> <div class="span4 widget-span widget-type-cell cell_170500813490111-padding dnd-column" style="" data-widget-type="cell" data-x="4" data-w="4"> <div class="row-fluid-wrapper row-depth-1 row-number-28 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module module_170500813490119-flexbox-positioning" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500813490119" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <span id="hs_cos_wrapper_module_170500813490119_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="linked_image"><img src="https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=48&height=48&name=circle-check.png" class="hs-image-widget " width="48" height="48" style="max-width: 100%; height: auto;" alt="circle-check" title="circle-check" loading="lazy" srcset="https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=24&height=24&name=circle-check.png 24w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=48&height=48&name=circle-check.png 48w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=72&height=72&name=circle-check.png 72w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=96&height=96&name=circle-check.png 96w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=120&height=120&name=circle-check.png 120w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=144&height=144&name=circle-check.png 144w" sizes="(max-width: 48px) 100vw, 48px"></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-29 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500813490120" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500813490120_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h3 style="font-size: 23px; margin-bottom: 18px;">Sample Size Re-estimation</h3> <p>Adjust sample size dynamically using promising zone or internal pilot designs</p></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> <div class="span4 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="8" data-w="4"> <div class="row-fluid-wrapper row-depth-1 row-number-30 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget module_170500813490123-flexbox-positioning dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500813490123" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <span id="hs_cos_wrapper_module_170500813490123_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="linked_image"><img src="https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=48&height=48&name=circle-check.png" class="hs-image-widget " width="48" height="48" style="max-width: 100%; height: auto;" alt="circle-check" title="circle-check" loading="lazy" srcset="https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=24&height=24&name=circle-check.png 24w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=48&height=48&name=circle-check.png 48w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=72&height=72&name=circle-check.png 72w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=96&height=96&name=circle-check.png 96w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=120&height=120&name=circle-check.png 120w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=144&height=144&name=circle-check.png 144w" sizes="(max-width: 48px) 100vw, 48px"></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-31 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500813490124" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500813490124_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h3 style="font-size: 23px; margin-bottom: 18px;">Multi-Arm Multi-Stage (MAMS)</h3> <p>Evaluate multiple treatments while dropping or adding study arms</p></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-32 dnd_area-row-8-max-width-section-centering dnd-section dnd_area-row-8-background-layers dnd_area-row-8-padding dnd_area-row-8-background-color"> <div class="row-fluid "> <div class="span4 widget-span widget-type-cell cell_170500814000810-margin dnd-column" style="" data-widget-type="cell" data-x="0" data-w="4"> <div class="row-fluid-wrapper row-depth-1 row-number-33 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget module_170500814000815-flexbox-positioning dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500814000815" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <span id="hs_cos_wrapper_module_170500814000815_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="linked_image"><img src="https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=48&height=48&name=circle-check.png" class="hs-image-widget " width="48" height="48" style="max-width: 100%; height: auto;" alt="circle-check" title="circle-check" loading="lazy" srcset="https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=24&height=24&name=circle-check.png 24w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=48&height=48&name=circle-check.png 48w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=72&height=72&name=circle-check.png 72w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=96&height=96&name=circle-check.png 96w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=120&height=120&name=circle-check.png 120w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=144&height=144&name=circle-check.png 144w" sizes="(max-width: 48px) 100vw, 48px"></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-34 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500814000816" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500814000816_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h3 style="font-size: 23px; margin-bottom: 18px;">Adaptive Phase IIa Designs</h3> <p>Reject unpromising treatments faster using methods such as Simon’s Design</p></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> <div class="span4 widget-span widget-type-cell cell_170500814000811-padding dnd-column" style="" data-widget-type="cell" data-x="4" data-w="4"> <div class="row-fluid-wrapper row-depth-1 row-number-35 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget module_170500814000819-flexbox-positioning dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500814000819" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <span id="hs_cos_wrapper_module_170500814000819_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="linked_image"><img src="https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=48&height=48&name=circle-check.png" class="hs-image-widget " width="48" height="48" style="max-width: 100%; height: auto;" alt="circle-check" title="circle-check" loading="lazy" srcset="https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=24&height=24&name=circle-check.png 24w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=48&height=48&name=circle-check.png 48w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=72&height=72&name=circle-check.png 72w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=96&height=96&name=circle-check.png 96w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=120&height=120&name=circle-check.png 120w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=144&height=144&name=circle-check.png 144w" sizes="(max-width: 48px) 100vw, 48px"></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-36 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500814000820" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500814000820_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h3 style="font-size: 23px; margin-bottom: 18px;">MCP-Mod</h3> <p>Combine Phase IIa/IIb evaluations for superior evidence for Phase II trials </p></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> <div class="span4 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="8" data-w="4"> <div class="row-fluid-wrapper row-depth-1 row-number-37 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget module_170500814000823-flexbox-positioning dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500814000823" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <span id="hs_cos_wrapper_module_170500814000823_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_linked_image" style="" data-hs-cos-general-type="widget" data-hs-cos-type="linked_image"><img src="https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=48&height=48&name=circle-check.png" class="hs-image-widget " width="48" height="48" style="max-width: 100%; height: auto;" alt="circle-check" title="circle-check" loading="lazy" srcset="https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=24&height=24&name=circle-check.png 24w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=48&height=48&name=circle-check.png 48w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=72&height=72&name=circle-check.png 72w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=96&height=96&name=circle-check.png 96w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=120&height=120&name=circle-check.png 120w, https://www.statsols.com/hs-fs/hubfs/circle-check.png?width=144&height=144&name=circle-check.png 144w" sizes="(max-width: 48px) 100vw, 48px"></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-38 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500814000824" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500814000824_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h3 style="font-size: 23px; margin-bottom: 18px;">Conditional Power</h3> <p>Find the probability of success at each interim analysis</p></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-39 dnd-section dnd_area-row-9-padding"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-40 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500831361810" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_170500831361810_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h2 style="text-align: center; font-size: 39px;">Sample Size Platform for Adaptive Trials</h2> <p style="text-align: center;"><span style="color: #515c62;">From fixed to flexible group sequential designs, nQuery helps you confidently reduce the risk and cost of clinical trials</span></p></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-41 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-42 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500831361813" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <div class="hs-video-widget" data-hsv-embed-id="e5e1b019-5263-447a-98fb-87eb15dae0d2"> <div class="hs-video-container" style="max-width: 1920px; margin: 0 auto;"> <div class="hs-video-wrapper" style="position: relative; height: 0; padding-bottom: 56.25%"> <iframe data-hsv-src="https://play.hubspotvideo.com/v/488764/id/175773524663?play_button_color=ffffff" referrerpolicy="origin" sandbox="allow-forms allow-scripts allow-same-origin allow-popups" allow="autoplay; fullscreen;" style="position: absolute !important; width: 100% !important; height: 100% !important; left: 0; top: 0; border: 0 none; pointer-events: initial" title="HubSpot Video" loading="lazy" data-hsv-id="175773524663" data-hsv-play-button-color="ffffff" data-hsv-width="1920" data-hsv-height="1080" data-hsv-full-width="false"></iframe> </div> </div> </div> </div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-43 dnd-section dnd_area-row-10-padding"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-44 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_17050083256844" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <div class="button-wrapper"> <a class="button" href="https://www.statsols.com/nquery-demo?hsLang=en-us"> Get Started </a> </div></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-45 dnd-section dnd_area-row-11-padding"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-46 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_17050081658157" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_17050081658157_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h2 style="text-align: center; font-size: 33px;">Frequently Asked Questions</h2> <p style="text-align: center;">Why nQuery is used for a wide range of adaptive designs</p></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-47 dnd_area-row-12-padding dnd-section dnd_area-row-12-max-width-section-centering"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-48 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500818287510" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><!-- module html --> <div class="bg-white faq-item px-3 py-3"> <div class="flex items-center justify-between cursor-pointer faq-question "> <div> <p class="text-[16px] font-semibold text-blue-primary"> What is nQuery Adapt? </p> </div> <div> <svg class="faq-closed" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M9 3.85254V14.3525M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> <svg class="faq-open hidden" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> </div> </div> <div class="hidden faq-answer text-nq-primary text-[16px] prose max-w-full prose-a:text-nq-jade mt-6"> <p>nQuery Adapt is the powerful adaptive module of the nQuery platform for clinical trial design.</p> <p>nQuery has 1000+ validated statistical procedures covering Adaptive, Bayesian and classical clinical trial designs.</p> <p>Browse the <a href="https://www.statsols.com/nquery-case-study/optimize-clinical-trials?hsLang=en-us" rel="noopener">tables for the Adaptive module in nQuery here</a>.</p> </div> </div> <div class="h-[4px] bg-nq-grey w-full"></div></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-49 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500818287511" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><!-- module html --> <div class="bg-white faq-item px-3 py-3"> <div class="flex items-center justify-between cursor-pointer faq-question "> <div> <p class="text-[16px] font-semibold text-blue-primary"> How do I take a trial? </p> </div> <div> <svg class="faq-closed" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M9 3.85254V14.3525M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> <svg class="faq-open hidden" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> </div> </div> <div class="hidden faq-answer text-nq-primary text-[16px] prose max-w-full prose-a:text-nq-jade mt-6"> <p><span>You can take a</span><span> </span><a href="https://www.statsols.com/nquery-demo?hsLang=en-us" rel="noopener">free 14-day nQuery here.</a></p> </div> </div> <div class="h-[4px] bg-nq-grey w-full"></div></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-50 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500818287512" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><!-- module html --> <div class="bg-white faq-item px-3 py-3"> <div class="flex items-center justify-between cursor-pointer faq-question "> <div> <p class="text-[16px] font-semibold text-blue-primary"> How do I purchase? </p> </div> <div> <svg class="faq-closed" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M9 3.85254V14.3525M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> <svg class="faq-open hidden" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> </div> </div> <div class="hidden faq-answer text-nq-primary text-[16px] prose max-w-full prose-a:text-nq-jade mt-6"> <p><span>nQuery Adapt is included in our <strong><em>Pro Tier</em></strong>.</span></p> <p><span>In addition to the Adapt module, you also have access to all the popular frequentists and a Bayesian trial design functionality. With access to over 1000+ sample size scenarios. </span><br><a href="https://www.statsols.com/nquery/request-a-quote?hsLang=en-us" rel="noopener">You can purchase online here.</a></p> <p><strong><span>Have A Question?</span><br></strong><a href="https://www.statsols.com/nquery-sales-faq?hsLang=en-us#question" rel="noopener">You can get in contact with us here.</a></p> </div> </div> <div class="h-[4px] bg-nq-grey w-full"></div></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-51 dnd_area-row-13-padding dnd-section"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-52 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_17050081716915" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><span id="hs_cos_wrapper_module_17050081716915_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h2 style="text-align: center; font-size: 33px;">More about the Adaptive module in nQuery</h2></span></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-53 dnd_area-row-14-max-width-section-centering dnd-section dnd_area-row-14-padding"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-54 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500819703713" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><!-- module html --> <div class="bg-white faq-item px-3 py-3"> <div class="flex items-center justify-between cursor-pointer faq-question "> <div> <p class="text-[16px] font-semibold text-blue-primary"> Are Adaptive designs more efficient? </p> </div> <div> <svg class="faq-closed" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M9 3.85254V14.3525M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> <svg class="faq-open hidden" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> </div> </div> <div class="hidden faq-answer text-nq-primary text-[16px] prose max-w-full prose-a:text-nq-jade mt-6"> <h4><span>Are Adaptive designs more efficient?</span></h4> <p><span>Adaptive designs allow clinical trials to be more flexible by utilising results accumulated in the trial to change the trial’s course. <em><strong>Trials with an adaptive design are usually more efficient, informative and can be more ethical than trials that have a traditional fixed design because they often make better use of resources such as time and money, and may require fewer participants.</strong></em><br><br>Adaptive designs can also be potentially less efficient than a fixed term trial or simple adaptive design if designed poorly. For example, sample size re-estimation designs lead to higher average sample sizes for minimal success rate increases or adaptive selection designs which include additional arms with minimal prior chance of succeeding.<br><br>Overall, adaptive designs when properly considered and well-planned have considerable scope for increasing trial efficiency but the additional flexibility could mean more opportunities for making poor design decisions.</span></p> <p><span><strong>Recommended:<br><a href="https://blog.statsols.com/an-introduction-to-adaptive-clinical-trial-designs?hsLang=en-us" rel="noopener">An Introduction to Adaptive Clinical Trial Designs</a></strong></span></p> </div> </div> <div class="h-[4px] bg-nq-grey w-full"></div></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-55 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500819703714" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><!-- module html --> <div class="bg-white faq-item px-3 py-3"> <div class="flex items-center justify-between cursor-pointer faq-question "> <div> <p class="text-[16px] font-semibold text-blue-primary"> What is a Group Sequential Design? </p> </div> <div> <svg class="faq-closed" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M9 3.85254V14.3525M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> <svg class="faq-open hidden" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> </div> </div> <div class="hidden faq-answer text-nq-primary text-[16px] prose max-w-full prose-a:text-nq-jade mt-6"> <h5><span>What is a Group Sequential Design?</span></h5> <p><span><a href="/nquery/group-sequential-design?hsLang=en-us" rel="noopener">Group sequential designs</a> are the most widely used type of adaptive trial in confirmatory Phase III clinical trials. </span><span>Group sequential designs differ from a standard fixed term trial by allowing a trial to end early based on pre-specified interim analyses for efficacy or futility. Group sequential designs achieve this by using an error spending method that allows a set amount of the total Type I (efficacy) or Type II (futility) error at each interim analysis. The ability to end the trial can help reduce costs by creating an opportunity to get early approval for highly effective treatments and abandoning trials that have shown very poor results thus far.</span></p> <h5><span>What is the assessment of futility in clinical trials?</span></h5> <p><span>The term 'futility' refers to the inability of a clinical trial to achieve its aims, such as, ending a clinical trial when the interim results suggest that it is highly unlikely to achieve statistical significance. This can save resources which can then be used in other more promising studies.</span><br><br></p> <p><span><strong>Recommended:</strong></span><br><span><a href="https://blog.statsols.com/an-introduction-to-adaptive-clinical-trial-designs?hsLang=en-us" rel="noopener">An Introduction to Adaptive Clinical Trial Designs</a></span></p> </div> </div> <div class="h-[4px] bg-nq-grey w-full"></div></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-56 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500819703715" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><!-- module html --> <div class="bg-white faq-item px-3 py-3"> <div class="flex items-center justify-between cursor-pointer faq-question "> <div> <p class="text-[16px] font-semibold text-blue-primary"> What is sample size re-estimation (SSR)? </p> </div> <div> <svg class="faq-closed" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M9 3.85254V14.3525M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> <svg class="faq-open hidden" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> </div> </div> <div class="hidden faq-answer text-nq-primary text-[16px] prose max-w-full prose-a:text-nq-jade mt-6"> <h4><span>What is sample size re-estimation (SSR)?</span></h4> <h5><span>Sample size r-estimation (SSR) is a type of adaptive trial where one can change the sample size if required. Sample size determination is a pre-trial process that will be conducted on the basis of inherently uncertain planning parameters (e.g. variance, effect size) and thus changing the sample size based on improved interim estimates for these parameters is an obvious adaptation target.</span><br><br><span>SSR can ensure that sufficient power is obtained for promising results in an underpowered study or could ensure more patients receive the superior treatment or transition directly from one trial phase to another. Combined this may reduce the use of resources and time or improve the likelihood of success of the trial.</span><br><br><span>There are two primary types of SSR: Unblinded SSR and Blinded SSR. The main differences between these designs are that they differ on whether the data is blinded or not and the planning parameter targeted to for an improved interim estimate.</span><br><br></h5> <p><span><strong>Recommended Viewing:</strong></span><br><strong><a href="https://blog.statsols.com/how-to-calculate-blinded-sample-size-re-estimation-in-clinical-trials?hsLang=en-us" rel="noopener">Blinded Sample Size Re-Estimation in Clinical Trials</a></strong></p> </div> </div> <div class="h-[4px] bg-nq-grey w-full"></div></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-57 dnd-row"> <div class="row-fluid "> <div class="span12 widget-span widget-type-custom_widget dnd-module" style="" data-widget-type="custom_widget" data-x="0" data-w="12"> <div id="hs_cos_wrapper_module_170500819703716" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><!-- module html --> <div class="bg-white faq-item px-3 py-3"> <div class="flex items-center justify-between cursor-pointer faq-question "> <div> <p class="text-[16px] font-semibold text-blue-primary"> Conditional vs Predictive power? </p> </div> <div> <svg class="faq-closed" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M9 3.85254V14.3525M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> <svg class="faq-open hidden" width="18" height="19" viewbox="0 0 18 19" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M3.75 9.10254H14.25" stroke="#152430" stroke-width="2" stroke-linecap="square" stroke-linejoin="round" /> </svg> </div> </div> <div class="hidden faq-answer text-nq-primary text-[16px] prose max-w-full prose-a:text-nq-jade mt-6"> <h4><span><strong>What is conditional power?</strong></span></h4> <p><span>Conditional power is the probability that the trial will reject the null hypothesis at a subsequent look given the current test statistic and the assumed “true” parameter values, which are usually assumed to equal their interim estimates or their initial planning values. </span></p> <h4><span><strong>What is predictive power?</strong></span></h4> <p><span>Predictive power (also known as Bayesian Predictive Power) is the conditional power averaged over the posterior distribution of the effect size. It is commonly used to quantify the probability of success of a clinical trial. It has been suggested as a superior alternative to conditional power as it treats the “true” estimates as uncertain rather than fixed.</span></p> <h4><strong><span>Recommended:</span><br><span><a href="https://blog.statsols.com/an-introduction-to-adaptive-clinical-trial-designs?hsLang=en-us" rel="noopener">An Introduction to Adaptive Clinical Trial Designs</a></span></strong></h4> </div> </div> <div class="h-[4px] bg-nq-grey w-full"></div></div> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> </div><!--end widget-span --> </div><!--end row--> </div><!--end row-wrapper --> <div class="row-fluid-wrapper row-depth-1 row-number-58 dnd-section dnd_area-row-15-background-color dnd_area-row-15-padding dnd_area-row-15-background-layers"> <div class="row-fluid "> <div class="span12 widget-span widget-type-cell dnd-column" style="" data-widget-type="cell" data-x="0" data-w="12"> <div class="row-fluid-wrapper row-depth-1 row-number-59 dnd-row"> <div 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