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Group-Sequential Clinical Trials with Multiple Co-Objectives

Posted By: Underaglassmoon
Group-Sequential Clinical Trials with Multiple Co-Objectives

Group-Sequential Clinical Trials with Multiple Co-Objectives
Springer | Statistics | July 3, 2016 | ISBN-10: 4431558985 | 113 pages | pdf | 2.07 mb

Authors: Hamasaki, T., Asakura, K., Evans, S.R., Ochiai, T.
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


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.

Number of Illustrations and Tables
14 b/w illustrations
Topics
Statistical Theory and Methods
Statistics for Life Sciences, Medicine, Health Sciences
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law

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