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Applied Statistics in the Pharmaceutical Industry

With Case Studies Using S-Plus

  • Book
  • © 2001

Overview

  • 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

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Table of contents (19 chapters)

  1. Introduction

  2. Basic Research and Preclinical Studies

  3. Pre-Clinical Safety Assessment

  4. Phase I Studies

  5. Phase II and Phase III Clinical Trials

Keywords

About this book

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. Specifically, the goal is to: *Illustrate statistical applications in the pharmaceutical industry; *Illustrate how the statistical applications can be carried out using S-PLUS; *Illustrate why S-PLUS is a useful software package for carrying out these applications; *Discuss the results and implications of a particular application; The target audience for this book is very broad, including: *Graduate students in biostatistics; *Statisticians who are involved in the industry as research scientists, regulators, academics, and/or consultants who want to know more about how to use S-PLUS and learn about other sub-fields within the indsutry that they may not be familiar with; *Statisticians in other fields who want to know more about statistical applications in the pharmaceutical industry.

Reviews

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)

Editors and Affiliations

  • Probability, Statistics & Information, Seattle, USA

    Steven P. Millard

  • Biostatistics, Novartis Pharma AG, Basel, Switzerland

    Andreas Krause

Bibliographic Information

  • Book Title: Applied Statistics in the Pharmaceutical Industry

  • Book Subtitle: With Case Studies Using S-Plus

  • Editors: Steven P. Millard, Andreas Krause

  • DOI: https://doi.org/10.1007/978-1-4757-3466-9

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2001

  • Hardcover ISBN: 978-0-387-98814-6

  • Softcover ISBN: 978-1-4419-3166-5

  • eBook ISBN: 978-1-4757-3466-9

  • Edition Number: 1

  • Number of Pages: XVIII, 514

  • Topics: Statistics for Life Sciences, Medicine, Health Sciences, Computer Appl. in Life Sciences

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