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Applied statistics in the pharmaceutical industry制药业中的S-PLUS使用

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Applied statistics in the pharmaceutical industry制药业中的S-PLUS使用

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作 者:Steven P. Millard, AndreasKrause 著

出 版 社:

出版时间:2001-6-1

I S B N:9780387988146

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内容简介

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。

作者简介

目录

Preface
A Note About S-PLUS Versions
Typographic Conventions
Companion Web Site for This Book
Information on S-PLUS
Acknowledgments
List of Contributors
Part 1 Introduction
 1 Statistics and the Drug Development Process
Part 2 Basic Research and Preclinical Studies
 2 One-Factor Comparative Studies
Part 3 Pre-Clinical Safety Assessment
 3 Analysis of Animal Carcinogenicity Data
 4 Analysis of Toxicokinetic and Pharmacokinetic Data from Animal Studies
Part 4 Phase I Studies
 5 Analysis of Pharmacokinetic Data
 6 Graphical Presentation of Single Patient Results
 7 Graphical Insight and Data Analysis for the 2,2,2 Crossover Design
 8 Design and Analysis of Phase I Trials in Clinical Oncology
 9 Patient Compliance and its Impact on Steady State Pharmacokinetics
 10 Analysis of Analgesic Trials
Part 5 Phase II and Phase III Clinical Trials
 11 Power and Sample Size Calculations
 12 Comparing Two Treatments in a Large Phase III Clinical Trial
 13 Analysis of Variance: A Comparison Between SAS and S-PLUS
 14 Permutation Tests for Phase III Clinical Trials
 15 Sample Size Reestimation
 16 Meta-Analysis of Clinical Trials
Part 6 Phase IV Studies
 17 Analysis of Health Economic Data
Part 7 Manufacturing and Production
 18 Evaluation of the Decimal Reduction Time of a Sterilization Process in Pharmaceutical Production
 19 Acceptance Sampling Plans by Attributes
Index

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