Analysis of Clinical Trials Using SAS: A Practical Guide
This book covers many important topics applied biostatisticians encounter every day. It will be a big addition to the existing literature on the analysis of clinical trials using SAS, and I expect this book is much needed. The feature I like most about Analysis of Clinical Trials Using SAS: A Practical Guide is that it not only gives comprehensive reviews and summaries of developments on several very important topics, but also provides practical guide on how the methodologies can be implemented in the SAS environment. I strongly agree with the authors that the experienced biostatisticians who are involved in the design and analysis of clinical trials will find the book very helpful, as will graduate students specializing in biostatistics. --Xiaoming Li, Ph.D., Merck Research LaboratoriesThis book provides an excellent overview of many statistical methods used in clinical trial design and data analysis. It is much more than a collection of SAS programs. The authors share their experience as shown in the examples and discussions that give an in-depth insight of many practical problems you may face in the real world. --Gordon Lan, Sanofi-AventisFor the non-statistician, the array of statistical issues in design and analysis of clinical trials can be overwhelming. Drawing on their years of experience dealing with data analysis plans and the regulatory environment, the authors ofAnalysis of Clinical Trials Using SAS: A Practical Guidehave done a great job in organizing the statistical issues one needs to consider. These issues need to be considered both in the design phase and in the analysis and reporting phase. As the authors demonstrate, SAS provides excellent tools for design, analysis, and reporting the results of comparative trials, making this book very attractive for the non-statistician.This book will also be very useful for statisticians who wish to learn the most current statistical methodologies in clinical trials. The authors make use of recent developments in SAS, including stratification, multiple imputation, mixed models, nonparametrics, and multiple comparisons procedures, to provide cutting-edge tools that are either difficult to find or unavailable in other software packages. Statisticians will also appreciate the fact that sufficient technical details are provided.Because clinical trials are so highly regulated, some of the most rigorous and highly respected statistical tools are used in this arena. The methodologies covered in this book have applicability to the design and analysis of experiments well beyond clinical trials; researchers in all fields who carry out comparative studies would do well to have it on their bookshelves. --Peter Westfall, Texas Tech UniversityThis book covers many important topics applied biostatisticians encounter every day. It will be a big addition to the existing literature on the analysis of clinical trials using SAS, and I expect this book is much needed. The feature I like most about Analysis of Clinical Trials Using SAS: A Practical Guide is that it not only gives comprehensive reviews and summaries of developments on several very important topics, but also provides practical guide on how the methodologies can be implemented in the SAS environment. I strongly agree with the authors that the experienced biostatisticians who are involved in the design and analysis of clinical trials will find the book very helpful, as will graduate students specializing in biostatistics --Xiaoming Li, Ph.D., Merck Research LaboratoriesThis is a very impressive book. Although it doesn't pretend to cover all types of analyses used in clinical trials, it does provide unique coverage of five extremely important areas. Each chapter combines a detailed literature review and theoretical development along with a useful how-to guide for practitioners. This will be a valuable book for clinical biostatisticians in the pharmaceutical industry. --Steve Snapinn, Amgen