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Statistical analysis of epidemiologic data

Author: S Selvin
Publisher: New York ; Oxford : Oxford University Press, 2004.
Series: Monographs in epidemiology and biostatistics, v. 35.
Edition/Format:   eBook : Document : English : 3rd edView all editions and formats
Summary:
Thoroughly revised throughout, the 3rd edition of this popular text focuses on clear & practical descriptions of statistical methods for the analysis of epidemiologic data.--[Source inconnue].
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Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: S Selvin
OCLC Number: 652520623
Notes: Titre de l'écran-titre (visionné le 21 juillet 2010).
Description: 1 online resource (xiv, 492 p.) : ill., cartes, fichiers HTML.
Contents: 1. Measures of Risk: Rates and Probabilities ; 2. Variation and Bias ; 3. Statistical Power and Sample Size Calculations ; 4. Cohort Data: Description and Illustration ; 5. Spatial Data: Analysis and Estimation ; 6. The 2 x k Table and the 2 x 2 x 2 Table ; 7. The Analysis of Contingency Table Data: Logistic Model I ; 8. The Analysis of Binary Data: Logistic Model II ; 9. The Analysis of Count Data: Poisson Model ; 10. The Analysis of Matched Data: Three Approaches ; 11. Life Table Analysis: An Introduction ; 12. Survival Data: Estimation of Risk ; 13. Survival Data: Proportional Hazard Model ; Appendices ; A. Description of the WCGS data set ; B. Binomial and Poisson distributions ; C. The odds ratio and its properties ; D. Partitioning the chi-square statistic ; E. Maximum likelihood estimation and likelihood functions ; F. Problems
Series Title: Monographs in epidemiology and biostatistics, v. 35.
Responsibility: Steve Selvin.

Abstract:

This popular intermediate-level text continues to focus sharply on clear and practical descriptions of statistical methods for analyzing epidemiological data. Thoroughly revised throughout, the  Read more...

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"This book covers a large number of statistical methods useful in analyzing epidemiologic data. The material is clearly presented and is illustrated by interesting examples based on real data. Most Read more...

 
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