Clinical Trial Data Analysis Using R and SAS

<p> <strong> Book Summary </strong> : <em> Clinical Trial Data Analysis Using R and SAS, Second Edition </em> provides a thorough presentation of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book&rsquo;s practical, detailed approach draws on the authors&rsquo; 30 years&rsquo; 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.</p><p> What&rsquo;s New in the Second Edition: <ul> <li> Adds SAS programs along with the R programs for clinical trial data analysis. </li> <li> Updates all the statistical analysis with updated R packages. </li> <li> Includes correlated data analysis with multivariate analysis of variance. </li> <li> Applies R and SAS to clinical trial data from hypertension, duodenal ulcer, beta blockers, familial andenomatous polyposis, and breast cancer trials. </li> <li> Covers the biostatistical aspects of various clinical trials, including treatment comparisons, time-to-event endpoints, longitudinal clinical trials, and bioequivalence trials. </li> </ul></p>