<P>Review of the First Edition</P><I> <P>"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 recom
Clinical Trial Data Analysis using R and SAS
โ Scribed by Ding-Geng (Din) Chen, Karl E. Peace, Pinggao Zhang
- Publisher
- CRC
- Year
- 2017
- Tongue
- English
- Leaves
- 391
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Too often in biostatistical research and clinical trials, a knowledge gap exists between developed statistical methods and the applications of these methods. Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentation of biostatistical analyses of clinical trial data and
N.-Y.: SAS Publishing, 2005. - 430p.<div class="bb-sep"></div>In Analysis of Clinical Trials Using SAS: A Practical Guide, Alex Dmitrienko, Geert Molenberghs, Christy Chuang-Stein, and Walter Offen bridge the gap between modern statistical methodology and real-world clinical trial applications. Step
<strong>Data Analysis Using SASย </strong>offers a comprehensive core text focused on key concepts and techniques in quantitative data analysis using the most current SAS commands and programming language. The coverage of the text is more evenly balanced among statistical analysis, SAS programming, a