Pharmaceutical Statistics Using SAS: A Practical Guide

Product description Review "Pharmaceutical Statistics Using SAS contains applications of cutting-edge statistical techniques using cutting-edge software tools provided by SAS. The theory is presented in down-to-earth ways, with copious examples, for simple understanding. For pharmaceutical statisticians, connections with appropriate guidance documents are made; the connections between the document and the data analysis techniques make 'standard practice' easy to implement. In addition, the included references make it easy to find these guidance documents that are often obscure. Specialized procedures, such as easy calculation of the power of nonparametric and survival analysis tests, are made transparent, and this should be a delight to the statistician working in the pharmaceutical industry, who typically spends long hours on such calculations. However, non-pharmaceutical statisticians and scientists will also appreciate the treatment of problems that are more generally common, such as how to handle dropouts and missing values, assessing reliability and validity of psychometric scales, and decision theory in experimental design. I heartily recommend this book to all." -- Peter H. Westfall, Professor of Statistics "Texas Tech University" About the Author Alex Dmitrienko, Ph.D., Principal Research Scientist, Eli Lilly and Company, has been actively involved in biostatistical research, published over 40 papers on a variety of statistical topics with clinical trial applications, and co-authored Analysis of Clinical Trials Using SAS: A Practical Guide (SAS Press). His other interests include software implementation of new and existing statistical methods.Christy Chuang-Stein, Ph.D., Site Head, Midwest Statistics, Pfizer, has more than 20 years of experience in the pharmaceutical industry. She has written more than 100 publications in statistical and medical journals and is a co-author of Analysis of Clinical Trials Using SAS: A Practical Guide (SAS Press). Her interests include not only technical subjects dealing with statistical theory and applications, but also the development of pharmaceutical statisticians and the statistics profession in general.Ralph B. D'Agostino, Sr., Ph.D., is Professor of Mathematics, Statistics and Public Health at Boston University. Ralph has published over 400 papers on clinical trials, epidemiology, health services, and statistical methods, and is the co-author or editor of 7 books. He has been an advisor to the FDA since 1974 and has consulted extensively with the industry.