Design and Analysis of Clinical Trials: Concept and Methodologies (Wiley Series in Probability and Statistics)

A unique, unifying treatment for statistics and science in clinical trials

What sets this volume apart from the many books dealing with clinical trials is its integration of statistical and clinical disciplines. Stressing communication between biostatisticians and clinical scientists, this work clearly relates statistical interpretation to clinical issues arising in different stages of pharmaceutical research and development. Plus, the principles presented here are universal enough to be easily adapted in non-biopharmaceutical settings.

Design and Analysis of Clinical Trials tackles concepts and methodologies. It not only covers statistical basics such as uncertainty and bias, design considerations such as patient selection, randomization, and the different types of clinical trials but also deals with various methods of data analysis, group sequential procedures for interim analysis, efficacy data evaluation, analysis of safety data, and more. Throughout, the book:
* Surveys current and emerging clinical issues and newly developed statistical methods
* Presents a critical review of statistical methodologies in various therapeutic areas
* Features case studies from actual clinical trials
* Minimizes the mathematics involved, making the material widely accessible
* Offers each chapter as a self-contained entity
* Includes illustrations to highlight the text

This monumental reference on all facets of clinical trials is important reading for physicians, clinical and medical researchers, pharmaceutical scientists, clinical programmers, biostatisticians, and anyone involved in this burgeoning area of clinical research. It can also be used as a textbook in graduate-level courses in the field.

SHEIN-CHUNG CHOW works in biostatistics and data management for Covance Inc.

JEN-PEI LIU works in biostatistics for the National Health Research Institutes and National Chen-Kung University, Taiwan.