Clinical Trial Data Analysis Using R and SAS

ISBN-13: 9781498779524 / Angielski / Twarda / 2017 / 378 str.

Ding-Geng (Din) Chen; Karl E. Peace; Pinggao Zhang

Opis

"Major updates to include SAS programs"--Preface.

Recenzje

" . . . this book provides a very useful overview of the statistical methods used in the analysis of clinical trials, along with their implementations. This will particularly help clinical practitioners to apply these methodologies in their own scientific problems . . . I would really like to thank the authors, D. Chen, K. E. Peace and P. Zhang, for such a nice readymade reference for clinical trial analysis, with very interesting real data illustrations."
~Abhik Ghosh, International Society for Clinical Biostatistics

Spis treści

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.