×

Clinical trial data analysis using R and SAS. 2nd edition. (English) Zbl 1411.92001

Chapman & Hall/CRC Biostatistics Series. Boca Raton, FL: CRC Press (ISBN 978-1-4987-7952-4/hbk; 978-1-315-15510-4/ebook). xxxii, 378 p. (2017).
Publisher’s description: 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 book’s 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.
What’s 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.

MSC:

92-02 Research exposition (monographs, survey articles) pertaining to biology
92B15 General biostatistics
62P10 Applications of statistics to biology and medical sciences; meta analysis
92-04 Software, source code, etc. for problems pertaining to biology
68N15 Theory of programming languages
PDFBibTeX XMLCite
Full Text: DOI