Deals with the analysis of contingency table data arising from observations on two or more qualitative variables. This second edition offers expanded coverage of methods which have developed over the last decade and includes an account of correspondence analysis.[...]

At last - a new edition of the highly acclaimed book Clinical Trials in Psychiatry This book provides a concise but thorough overview of clinical trials in psychiatry, invaluable to those seeking solutions to numerous problems relating to design, methodology and analysis of such trials. Practical ex[...]

During the last twenty years statistical methodology has become of central importance in research studies in medicine and also in day-to-day clinical practice. The medical literature is now liberally punctuated not only with relatively routine statistical terms such as p-value, t-test, confidence in[...]

Built around a problem solving theme, this book extends the intermediate and advanced student's expertise to more challenging situations that involve applying statistical methods to real-world problems. Data relevant to these problems are collected and analyzed to provide useful answers.
Buildi[...]

Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regressi[...]

Shows how to conduct various statistical analysis using SAS. This book covers inference, analysis of variance, regression, generalized linear models, longitudinal data, survival analysis, principal components analysis, factor analysis, cluster analysis, discriminant function analysis, and correspond[...]