This volume covers statistical methods used in drug discovery, animal toxicology studies, and clinical trials, for use by biostatisticians, pharmaceutical researchers, regulatory scientists, academic researchers, and graduate students. The 14 chapters, written by scientists from pharmaceutical companies from Europe and the US, discuss methodological issues, traditional and recently developed approaches to data analysis, and reviews of regulatory guidelines. They demonstrate how to implement the algorithms presented using built-in SAS procedures or custom SAS macros, illustrated using case studies from pre-clinical experiments and clinical trials. Focus is on methods to support research and early drug development activities, and not much emphasis is placed on technical details. Dmitrienko is a research scientist, and Chuang-Stein works in the pharmaceutical industry. D'Agostino is professor of mathematics, statistics, and public health at Boston U. Annotation 2007 Book News, Inc., Portland, OR (booknews.com)
