Applied Statistics in the Pharmaceutical Industry
With Case Studies Using S-Plus
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Beschreibung
The purpose of this book is to provide a general guide to statistical methods used in the pharmaceutical industry, and to illustrate how to use S-PLUS to implement these methods.
Each chapter illustrates a practical problem using data from actual studies No competing book has this pharmaceutical focus or use S-PLUS in this manner Includes supplementary material: sn.pub/extras
Autor*in
Steven P. Millard
Themen in »Applied Statistics in the Pharmaceutical Industry«
S-Plus applied statistics clinical trial data analysis development drug drug development evaluation pharmaceutical pharmaceutical industry pharmacokinetics quality control research statistical methods statistics
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From the reviews:
STATISTICAL METHODS IN MEDICAL RESEARCH AN INTERNATIONAL REVIEW JOURNAL
"...this book is extremely good and highly recommended to statisticians involved in the drug development process."
"The book has a dual purpose. First, it contains examples of statistics in practice and includes interesting real-life examples … . The second purpose of the book is to promote the use of S-Plus, by showing what can be done with this software, and illustrating its use … . this is a very valuable book of case studies. Managers of Biometrics groups should ensure their staff have access to a copy and statistics consultants will need a copy of their own." (Tim Auton, Journal of Applied Statistics, Vol. 30 (1), 2003)
"Most of the chapters are written from a procedural perspective, describing the task to be done, showing the S-PLUS code required to conduct the task, and then displaying the S-PLUS results. … For a reader already sold on S-PLUS and looking for ways to apply it in his or her work, this book will be appealing. … The book will help pharmaceutical statisticians implement S-PLUS in their work if they are new to S-PLUS." (Brian J. Eastwood, Journal of the American Statistical Association, Issue March, 2003)
"Each one of the chapters begins with a short introduction to the subject, followed by background information on each source of data. ... and finishes with related references and an appendix with S-PLUS code. The latter is of major benefit to readers. It is very clearly set out with macros that cover a wide range of graphics and aspects of statistical analysis. … this book is extremely good and highly recommended to statisticians involved in the drug development process." (Vasilis Nikolaou, Statistical Methods in Medical Research, Vol. 11 (2), 2002)
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