"…recommend[ed]….written in a style that explains the methods rather than one that simply trieds to impress you with how clever the authors are." -Pharmaceutical Statistics "Twenty contributions provide a wide range of experience in the discipline…well written, clear and concise…provides an excellent source of reference material…provides interesting reading with new methodology clearly explained…makes an important contribution to the field…figures, tables, examples, summaries, discussions and conclusions are well presented. I liked the useful index of clinical trials and index of abbreviations at the end of the book…examples provide for interesting reading. I recommend this book. It makes a worthwhile addition to any medical science and/or statistics library." -ISCB News, December 2004 "This book provides excellent survey articles on most commonly used biostatistical tools for clinical research. The articles cover the whole range of clinical research… This book is recommended for biostatistics graduate students and practitioners. I support this recommendation." -Zentralblatt MATH "This volume is a collection of 12 excellent chapters by researchers with extensive experience with research in biostatistics. The researchers are knowledgeable with both the underlying theory and the practical difficulties encountered in clinical trials research. The book is a recommended purchase for research libraries." -Journal of Mathematical Psychology, Vol. 49, 2005
From aspects of early trials to complex modeling problems, Advances in Clinical Trial Biostatistics summarizes current methodologies used in the design and analysis of clinical trials. Its chapters, contributed by internationally renowned methodologists experienced in clinical trials, address topics that include Bayesian methods for phase I clinical trials, adaptive two-stage clinical trials, and the design and analysis of cluster randomization trials, trials with multiple endpoints, and therapeutic equivalence trials. Other discussions explore Bayesian reporting, methods incorporating compliance in treatment evaluation, and statistical issues emerging from clinical trials in HIV infection.
National Institutes of Health, Bethesda, MD. Details the most modern approaches to design and analysis for phases ranging from initial drug development trials to complex modeling problems. Describes Bayesian methodology and the methodology for therapeutic equivalence trials. For researchers.