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9781441931665: Applied Statistics in the Pharmaceutical Industry: With Case Studies Using S-plus
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Providing a general guide to statistical methods used in the pharmaceutical industry, and illustrating how to use S-PLUS to implement these methods, the book explains why S-PLUS is a useful software package and discusses the results and implications of each particular application. It is targeted at graduates in biostatistics, statisticians 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 industry, as well as statisticians in other fields who want to know more about statistical applications in the pharmaceutical industry.

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Recensione:

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)

Contenuti:
Statistics and the Drug Development Process, Bruce Rodda and Steven P. Millard * One-Factor Comparative Studies, Bill Pikounis * Analysis of Animal Carcinogenicity Data, Hongshik Ahn and Ralph L. Kodell * Analysis of Toxicokinetic and Pharmacokinetic Data from Animal Studies, Wherly P. Hoffman, Michael A. Heathman, James Z. Chou, and Darrel L. Allen * Analysis of Pharmacokinetic Data, Ha Nguyen and Dhammika Amaratunga * Graphical Presentation of Single Patient Results, Jürgen Bock * Graphical Insight and Data Analysis for the 2, 2, 2, Crossover Design, Bill Pikounis, Tom Bradstreet, and Steven P. Millard * Design and Analysis of Phase I Trials in Clinical Oncology, Axel Benner, Lutz Elder, and Gernot Hartung * Patient Compliance and its Impact on Steady State Pharmacokinetics, Wenping Wang * Analysis of Analgesic Trials, Ene I. Ette, Peter Lockwood, Raymond Miller, and Jaap Mandema * Power and Sample Size Calculations, Jürgen Bock * Comparing Two Treatments in a Large Phase III Clinical Trial, Michaela Jahn * Analysis of Variance: A Comparison Between SAS and S-PLUS, Melvin Olson * Permutation Tests for Phase III Clinical Trials, Vance Berger and Anastasia Ivanova * Sample Size Reestimation, Wenping Wong and Andreas Krause * Meta-Analysis of Clinical Trials, Keith O'Rourke, Beverley Shea, and George A. Wells * Analysis of Health Economic Data, John R. Cook, George W. Carides, and Erik J. Dasbach * Evaluation of the Decimal Reduction Time of a Sterilization Process in Parmaceutical Production, Jeffrey Eisele, Mauro Gasparini, and Amy Racine * Acceptance Sampling Plans by Attributes, Harry Yang and David Carlin

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  • EditoreSpringer Nature
  • Data di pubblicazione2010
  • ISBN 10 144193166X
  • ISBN 13 9781441931665
  • RilegaturaCopertina flessibile
  • Numero di pagine554
  • RedattoreKrause Andreas

Altre edizioni note dello stesso titolo

9780387988146: Applied Statistics in the Pharmaceutical Industry: With Case Studies Using S-Plus

Edizione in evidenza

ISBN 10:  0387988149 ISBN 13:  9780387988146
Casa editrice: Springer Verlag, 2001
Rilegato

  • 9788184895056: Applied Statistics in the Pharmaceutical Industry

    Aspen ..., 2010
    Rilegato

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Descrizione libro Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Providing a general guide to statistical methods used in the pharmaceutical industry, and illustrating how to use S-PLUS to implement these methods, the book explains why S-PLUS is a useful software package and discusses the results and implications of each particular application. It is targeted at graduates in biostatistics, statisticians 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 industry, as well as statisticians in other fields who want to know more about statistical applications in the pharmaceutical industry. 536 pp. Englisch. Codice articolo 9781441931665

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Descrizione libro Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Each chapter illustrates a practical problem using data from actual studiesNo competing book has this pharmaceutical focus or use S-PLUS in this mannerProviding a general guide to statistical methods used in the pharmaceutical industry, and illustra. Codice articolo 4173622

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Descrizione libro Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9781441931665

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