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By: (Author) USA) Chen Ding-Geng (University of North Carolina , (Author) Karl E. Peace , (Author) Pinggao Zhang
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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 The example-based approach is easy to follow and makes the book a very helpful desktop reference for many biostatistics methods."
Journal 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 books practical, detailed approach draws on the authors 30 years 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.
Whats New in the Second Edition
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