Clinical Trial Data Analysis Using R and SAS

Review of the First Edition The goal of this book as stated by the authors is to fill the knowledge gap that exists between developed statistical methods and the applications of these methods. Overall this book achieves the goal successfully and does a nice job. I would highly recommend it âThe example-based approach is easy to follow and makes the book a very helpful desktop reference for many biostatistics methods. âJournal of Statistical Software Clinical Trial Data Analysis Using R and SAS Second Edition provides a thorough presentation of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The bookâs practical detailed approach draws on the authorsâ 30 yearsâ experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R packages and functions and SAS PROCS which enables readers to gain an understanding of the analysis methods and R and SAS implementation so that they can use these two popular software packages to analyze their own clinical trial data. Whatâs New in the Second Edition Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with updated R packages. Includes correlated data analysis with multivariate analysis of variance. Applies R and SAS to clinical trial data from hypertension duodenal ulcer beta blockers familial andenomatous polyposis and breast cancer trials. Covers the biostatistical aspects of various clinical trials including treatment comparisons time-to-event endpoints longitudinal clinical trials and bioequivalence trials. . Language: English