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Group-Sequential Clinical Trials with Multiple Co-Objectives

  • Book
  • © 2016

Overview

  • Describes group sequential methods for clinical trials with multiple endpoints including recently developed approaches not covered in other books
  • Includes several real clinical trial examples to illustrate the concepts and to help readers apply the methods in practice
  • Illustrates how to implement the sample size methods using standard statistical software including SAS and R
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)

Part of the book sub series: JSS Research Series in Statistics (JSSRES)

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Table of contents (7 chapters)

Keywords

About this book

This book focuses on group sequential methods for clinical trials with co-primary endpoints based on the decision-making frameworks for: (1) rejecting the null hypothesis (stopping for efficacy), (2) rejecting the alternative hypothesis (stopping for futility), and (3) rejecting the null or alternative hypothesis (stopping for either futility or efficacy), where the trial is designed to evaluate whether the intervention is superior to the control on all endpoints. For assessing futility, there are two fundamental approaches, i.e., the decision to stop for futility based on the conditional probability of rejecting the null hypothesis, and the other based on stopping boundaries using group sequential methods. In this book, the latter approach is discussed. The book also briefly deals with the group sequential methods for clinical trials designed to evaluate whether the intervention is superior to the control on at least one endpoint. In addition, the book describes sample size recalculation and the resulting effect on power and type I error rate. The book also describes group sequential strategies for three-arm clinical trials to demonstrate the non-inferiority of experimental intervention to actively control and to assess the assay sensitivity to placebo control.

Reviews

“This book is a highly stimulating read for anyone who is interested in group-sequential trials, or anybody who wishes to learn about how studies with multiple endpoints can be made more efficient.” (Michael J. Grayling, Technometrics, Vol. 60 (3), 2018)​

Authors and Affiliations

  • Department of Data Science, Natl Cerebral & Cardiovascular Ctr, Suita, Japan

    Toshimitsu Hamasaki

  • Department of Data Science, National Cerebral & Cardiovascular Ctr, Suita, Japan

    Koko Asakura

  • Dept. of Biostat. & the ctr for Biostat., Harvard T.H. Chan Sc. of Pub. Health, Boston, USA

    Scott R. Evans

  • Biostatistics Department, Shionogi & Co., Ltd., Osaka, Japan

    Toshimitsu Ochiai

About the authors

Toshimitsu Hamasaki, Professor, National Cerebral and Cardiovascular Center, 5-7-1 Fujishirodai, Suita, Osaka 565-8565, Japan
Koko Asakura, Research Assistant, National Cerebral and Cardiovascular Center, 5-7-1 Fujishirodai, Suita, Osaka 565-8565, Japan
Scott Richard Evans, Senior Research Scientist, Harvard School of Public Health, 651 Huntington Avenue, Boston, Massachusetts 02115, USAToshimitsu Ochiai, Biostatistics Department, Shionogi & Co., Ltd., Japan



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