TY  - BOOK
AU  - Chen,Ding-Geng
AU  - Peace,Karl E.
AU  - Zhang,Pinggao
AU  - Chen,Ding-Geng
AU  - 
AU  - 
TI  - Clinical trial data analysis with R and SAS
T2  - Chapman & Hall/CRC biostatistics series
SN  - 9781498779524 (hardback : alk. paper)
U1  - 610.727 23
PY  - 2017///
PB  - Chapman & Hall, 
KW  - Clinical trials
KW  - R (Computer program language)
KW  - SAS (Computer program language)
KW  - Statistical methods
N1  - "Major updates to include SAS programs"--Preface; Previous edition: Clinical trial data analysis using R / Ding-Geng Chen, Karl E. Peace (Boca Raton, Florida : CRC Press, 2011); Includes bibliographical references (pages 363-371) and index; Preface. 
Introduction to R. 
Overview of Clinical Trials. 
Sample Size Determination in Clinical Trials. 
Two Treatment Comparisons in Clinical Trials. 
Multi-Arm Comparisons in Clinical Trials (ANOVA). 
Treatment Comparisons Incorporating Covariates in Clinical Trials (ANCOVA). 
Clinical Trials with Time-to-Events Endpoints. 
Clinical Trials with Repeated Measures. 
Meta-Analysis in Clinical Trials. 
Bayesian Methods in Clinical Trials. 
Group Sequential Designs and Monitoring in Clinical Trials. 
Bioequivalence Clinical Trials. 
Monitoring Clinical Trials for Adverse Events
N2  - 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
ER  -