Adaptative Design Theory and Implementation Using SAS and R.

ISBN: 978-1-58488-962-5
Materia: Economía cuantitativa
Autor: Chang, Mark
Editorial: Chapman & Hall Co.
Edición: 2008
Encuadernación: Tapa dura
Páginas: 418
PVP: 89,00 €

Reseña:
Reflecting the state of the art in adaptive design approaches, Adaptive Design Theory and Implementation Using SAS and R provides a concise, unified presentation of adaptive design theories, uses SAS and R for the design and simulation of adaptive trials, and illustrates how to master different adaptive designs through real-world examples. The book focuses on simple two-stage adaptive designs with sample size re-estimation before moving on to explore more challenging designs and issues that include drop-loser, adaptive dose-funding, biomarker-adaptive, multiple-endpoint adaptive, response-adaptive randomization, and Bayesian adaptive designs. In many of the chapters, the author compares methods and provides practical examples of the designs, including those used in oncology, cardiovascular, and inflammation trials.

Equipped with the knowledge of adaptive design presented in this book, you will be able to improve the efficiency of your trial design, thereby reducing the time and cost of drug development.

Índice:
1 Introduction 1
2 Classic design 19
3 Theory of adaptive design 51
4 Method with direct combination of P-values 71
5 Method with inverse-normal P-values 101
6 Implementation of K-stage adaptive designs 121
7 Conditional error function method 139
8 Recursive adaptive design 153
9 Sample-size re-estimation design 181
10 Multiple-endpoint adaptive design 203
11 Drop-loser and add-arm design 225
12 Biomarker-adaptive design 239
13 Adaptive treatment switching and crossover 259
14 Response-adaptive allocation design 275
15 Adaptive dose finding design 291
16 Bayesian adaptive design 307
17 Planning, execution, analysis, and reporting 331
18 Paradox - debates in adaptive designs 339
App. A Random number generation 363
App. B Implementing adaptive designs in R 369