Clinical trial data analysis using R
"With examples based on the authors' 30 years of real-world experience in many areas of clinical drug development, this book provides a thorough presentation of clinical trial methodology. It presents detailed step-by-step illustrations on the implementation of the open-source software R. Case studies demonstrate how to select the appropriate clinical trial data. The authors introduce the corresponding biostatistical analysis methods, followed by the step-by-step data analysis using R. They als…
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- Full title :Clinical trial data analysis using R / Ding-Geng (Din) Chen, Karl E. Peace.
Summary
"With examples based on the authors' 30 years of real-world experience in many areas of clinical drug development, this book provides a thorough presentation of clinical trial methodology. It presents detailed step-by-step illustrations on the implementation of the open-source software R. Case studies demonstrate how to select the appropriate clinical trial data. The authors introduce the corresponding biostatistical analysis methods, followed by the step-by-step data analysis using R. They also offer the R program for download, along with other essential data, on their website"--Résumé de l'éditeur
Read More ↓Edition Statements
- Publication Date:2011.
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:2011.
Notes
Titre de l'écran-titre (visionné le 7 octobre 2011).
"A Chapman & Hall book."
The Physical Object
- Description:1 ressource en ligne (1 texte électronique (xxiii, 363 pages)) : : illustrations, fichiers PDF
Edition Identifiers
- ISBN:9781439840214, 1439840210
- oclc:on1132187989
Table of Contents
1. Introduction to R -- 2. Overview of clinical trials -- 3. Treatment comparisons in clinical trials -- 4. Treatment comparisons in clinical trials with covariates -- 5. Analysis of clinical trials with time-to-event endpoints -- 6. Analysis of data from longitudinal clinical trials -- 7. Sample size determination and power calculation in clinical trials -- 8. Meta-analysis of clinical trials -- 9. Bayesian analysis methods in clinical trials -- 10. Analysis of bioequivalence clinical trials -- 11. Analysis of adverse events in clinical trials -- 12. Analysis of DNA microarrays in clinical trials.
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