| Description |
1 online resource : illustrations |
| Series |
Chapman & Hall/CRC Biostatistics Series |
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Chapman & Hall/CRC biostatistics series
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| Contents |
Front Cover; Dedication; Series Introduction; Preface to the Second Edition; Preface to the First Edition; Contents; List of Figures; List of Tables; List of Examples; List of SAS Macros and R Functions; Chapter 1 -- Introduction; Chapter 2 -- Classical Design; Chapter 3 -- Theory of Hypothesis-Based Adaptive Design; Chapter 4 -- Method with Direct Combination of p-values; Chapter 5 -- Method with Inverse-Normal p-values; Chapter 6 -- Adaptive Noninferiority Design with Paired Binary Data; Chapter 7 -- Adaptive Design with Incomplete Paired Data; Chapter 8 -- K-Stage Adaptive Designs |
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Chapter 9 -- Conditional Error Function Method and Conditional PowerChapter 10 -- Recursive Adaptive Design; Chapter 11 -- Unblinded Sample-Size Reestimation Design; Chapter 12 -- Blinded and Semi-Blinded Sample-Size Reestimation Design; Chapter 13 -- Adaptive Design with Coprimary Endpoints; Chapter 14 -- Multiple-Endpoint Adaptive Design; Chapter 15 -- Pick-the-Winners Design; Chapter 16 -- The Add-Arm Design for Unimodal Response; Chapter 17 -- Biomarker-Enrichment Design; Chapter 18 -- Biomarker-Informed Adaptive Design; Chapter 19 -- Survival Modeling and Adaptive Treatment Switching |
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Chapter 20 -- Response-Adaptive Allocation DesignChapter 21 -- Introductory Bayesian Approach in Clinical Trial; Chapter 22 -- Adaptive Dose-Escalation Trial; Chapter 23 -- Bayesian Design for Efficacy-Toxicity Trade-O and Drug Combination; Chapter 24 -- Bayesian Approach to Biosimilarity Trial; Chapter 25 -- Adaptive Multiregional Trial Design; Chapter 26 -- SAS and R Modules for Group Sequential Design; Chapter 27 -- Data Analysis of Adaptive Trial; Chapter 28 -- Planning, Execution, Analysis, and Reporting; Chapter 29 -- Debates in Adaptive Designs; Appendix A -- Random Number Generation |
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Appendix B -- A Useful UtilityAppendix C -- SAS Macros for Add-Arm Designs; Appendix D -- Implementing Adaptive Designs in R; Bibliography; Back Cover |
| Summary |
Get Up to Speed on Many Types of Adaptive DesignsSince the publication of the first edition, there have been remarkable advances in the methodology and application of adaptive trials. Incorporating many of these new developments, Adaptive Design Theory and Implementation Using SAS and R, Second Edition offers a detailed framework to understand the use of various adaptive design methods in clinical trials. New to the Second EditionTwelve new chapters covering blinded and semi-blinded sample size reestimation design, pick-the-winners design, biomarker-informed adaptive design, Bayesian designs .. |
| Notes |
"Chapman & Hall Book." |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (Ebsco, viewed Jan. 5, 2015) |
| SUBJECT |
SAS (Computer file) http://id.loc.gov/authorities/names/n88028236
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SAS (Computer file) fast |
| Subject |
Adaptive sampling (Statistics)
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R (Computer program language)
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MEDICAL -- Laboratory Medicine.
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Adaptive sampling (Statistics)
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R (Computer program language)
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| Form |
Electronic book
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| ISBN |
9781482256604 |
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1482256606 |
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