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MARC 21

Applied Statistics in the Pharmaceutical Industry: With Case Studies Using S-Plus /
Tag	Description
020	$a9781475734669$9978-1-4757-3466-9
082	$a519.5$223
099	$aOnline resource: Springer
245	$aApplied Statistics in the Pharmaceutical Industry$h[EBook] :$bWith Case Studies Using S-Plus /$cedited by Steven P. Millard, Andreas Krause.
260	$aNew York, NY :$bSpringer New York :$bImprint: Springer,$c2001.
300	$aXVIII, 514 p.$bonline resource.
336	$atext$btxt$2rdacontent
337	$acomputer$bc$2rdamedia
338	$aonline resource$bcr$2rdacarrier
505	$a1: Introduction -- 1. Statistics and the Drug Development Process -- 2: Basic Research and Preclinical Studies -- 2. One-Factor Comparative Studies -- 3: Pre-Clinical Safety Assessment -- 3. Analysis of Animal Carcinogenicity Data -- 4. Analysis of Toxicokinetic and Pharmacokinetic Data from Animal Studies -- 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 -- 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 -- 6: Phase IV Studies -- 17. Analysis of Health Economic Data -- 7: Manufacturing and Production -- 18. Evaluation of the Decimal Reduction Time of a Sterilization Process in Pharmaceutical Production -- 19. Acceptance Sampling Plans by Attributes.
520	$aThe 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.
538	$aOnline access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
700	$aMillard, Steven P.$eeditor.
700	$aKrause, Andreas.$eeditor.
710	$aSpringerLink (Online service)
856	$uhttp://dx.doi.org/10.1007/978-1-4757-3466-9