Book description
Provides an introduction to the various statistical techniques involved in medical research and drug development with a focus on estimating the success probability of an experiment
Success Probability Estimation with Applications to Clinical Trials details the use of success probability estimation in both the planning and analyzing of clinical trials and in widely used statistical tests.
Devoted to both statisticians and nonstatisticians who are involved in clinical trials, Part I of the book presents new concepts related to success probability estimation and their usefulness in clinical trials, and each section begins with a nontechnical explanation of the presented concepts. Part II delves deeper into the techniques for success probability estimation and features applications to both reproducibility probability estimation and conservative sample size estimation.
Success Probability Estimation with Applications to Clinical Trials:
Addresses the theoretical and practical aspects of the topic and introduces new and promising techniques in the statistical and pharmaceutical industries
Features practical solutions for problems that are often encountered in clinical trials
Includes success probability estimation for widely used statistical tests, such as parametric and nonparametric models
Focuses on experimental planning, specifically the sample size of clinical trials using phase II results and data for planning phase III trials
Introduces statistical concepts related to success probability estimation and their usefulness in clinical trials
Success Probability Estimation with Applications to Clinical Trials is an ideal reference for statisticians and biostatisticians in the pharmaceutical industry as well as researchers and practitioners in medical centers who are actively involved in health policy, clinical research, and the design and evaluation of clinical trials.
Table of contents
 Cover
 Half Title page
 Title page
 Copyright page
 Dedication
 Preface
 Acknowledgments
 Acronyms
 Introduction: Clinical Trials, Success Rates, and Success Probability

Part I: Success Probability Estimation in Planning and Analyzing Clinical Trials

Chapter 1: Basic Statistical Tools
 1.1 Pointwise estimation
 1.2 Confidence interval estimation, conservative estimation
 1.3 The statistical hypotheses, the statistical test and the type I error for onetailed tests
 1.4 The power function and the type II error
 1.5 The pvalue
 1.6 The success probability and its estimation
 1.7 Basic statistical tools for twotailed tests
 1.8 Other statistical hypotheses and tests

Chapter 2: Reproducibility Probability Estimation
 2.1 Pointwise RP estimation
 2.2 RPtesting
 2.3 The RP estimate and the pvalue
 2.4 Statistical lower bounds for the RP
 2.5 The γstability criterion for statistical significance
 2.6 Other stability criteria for statistical significance
 2.7 Comparing stability criteria
 2.8 Regulatory agencies and the single study
 2.9 The RP for twotailed tests
 2.10 Discussing Situation I in Section 1.4.1

Chapter 3: Sample Size Estimation
 3.1 The classical paradigm of sample size determination
 3.2 SP estimation for adapting the sample size
 3.3 Launching the trial in practice
 3.4 Practical aspects of SSE
 3.5 Frequentist conservative SSE
 3.6 Optimal frequentist CSSE
 3.7 Bayesian CSSE
 3.8 A comparison of CSSE strategies
 3.9 Discussing Situations I and II in Section 1.4
 3.10 Sample size estimation for the twotailed setting
 Chapter 4: Robustness and Corrections in Sample Size Estimation

Chapter 1: Basic Statistical Tools

Part II: Success Probability Estimation for Some Widely Used Statistical Tests
 Chapter 5: General Parametric SP Estimation
 Chapter 6: SP Estimation for Student’s t Statistical Tests
 Chapter 7: SP Estimation for Gaussian Distributed test Statistics
 Chapter 8: SP Estimation for ChiSquare Statistical Tests
 Chapter 9: General Nonparametric SP Estimation  with Applications to the Wilcoxon Test
 Appendix A: Tables of Quantiles
 Appendix B: Tables of RP Estimates for the OneTailed ZTest
 References
 Topic Index
 Author Index
Product information
 Title: Success Probability Estimation with Applications to Clinical Trials
 Author(s):
 Release date: April 2013
 Publisher(s): Wiley
 ISBN: 9781118335789
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