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Advances in Statistical Methods for the Health Sciences: Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis 2007th Edition
Author(s): Jean-Louis Auget (Editor), N. Balakrishnan (Editor), Mounir Mesbah (Editor), Geert Molenberghs (Editor)
- Publisher: Birkhäuser
- Publication Date: 22 Nov. 2006
- Edition: 2007th
- Language: English
- Print length: 540 pages
- ISBN-10: 9780817643683
- ISBN-13: 9780817643683
Book Description
Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics.
The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.
Editorial Reviews
Review
From the reviews:
“This edited volume is an outgrowth of an ‘International Conference on Statistical Methods’ so-called in the Health Sciences in 2004. It is a well presented volume with lists of tables and figures. … Clearly this volume covers a wide range of topics pertaining to statistical methods in the area of health sciences. … In summary, it is a welcome addition to the literature of statistical science.” (Technometrics, Vol. 49 (3), August, 2007)
From the Back Cover
Statistical methods have become increasingly important and now form integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained volume, an outgrowth of an “International Conference on Statistical Methods in Health Sciences,” covers a wide range of topics pertaining to new statistical methods and novel applications in the health sciences.
The chapters, written by leading experts in their respective fields, are thematically divided into the following areas:
* Prognostic studies and general epidemiology
* Pharmacovigilance
* Quality of life
* Survival analysis
* Clustering
* Safety and efficacy assessment
* Clinical design
* Models for the environment
* Genomic analysis
* Animal health
This comprehensive volume will be highly useful an of great interest to the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.
