[Wiley Series in Probability and Statistics] Biostatistics (A Methodology for the Health Sciences) || Association and Prediction: Multiple Regression Analysis and Linear Models with Multiple Predictor Variables
β Scribed by Van Belle, Gerald; Fisher, Lloyd D.; Heagerty, Patrick J.; Lumley, Thomas
- Book ID
- 120701420
- Publisher
- John Wiley & Sons, Inc.
- Year
- 2004
- Tongue
- English
- Weight
- 682 KB
- Edition
- 2
- Category
- Article
- ISBN
- 0471031852
No coin nor oath required. For personal study only.
β¦ Synopsis
A respected introduction to biostatistics, thoroughly updated and revised
The first edition of Biostatistics: A Methodology for the Health Sciences has served professionals and students alike as a leading resource for learning how to apply statistical methods to the biomedical sciences. This substantially revised Second Edition brings the book into the twenty-first century for todayβs aspiring and practicing medical scientist.
This versatile reference provides a wide-ranging look at basic and advanced biostatistical concepts and methods in a format calibrated to individual interests and levels of proficiency. Written with an eye toward the use of computer applications, the book examines the design of medical studies, descriptive statistics, and introductory ideas of probability theory and statistical inference; explores more advanced statistical methods; and illustrates important current uses of biostatistics.
New to this edition are discussions of
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Longitudinal data analysis
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Randomized clinical trials
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Bayesian statistics
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GEE
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The bootstrap method
Enhanced by a companion Web site providing data sets, selected problems and solutions, and examples from such current topics as HIV/AIDS, this is a thoroughly current, comprehensive introduction to the field.
Booknews
An introductory text to advanced biostatistical concepts and methods heavily salted with examples, step-by-step outlines, and practice exercises. The volume discusses the design of medical studies, descriptive statistics, introduces probability theory and statistical inference, and details advanced methods such as robustness and nonparametric statistics, variance and covariance, discrimination and classification, and survival analysis. Includes illustrations, graphics, and specially noted advanced coursework. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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