Statistical Analysis of Epidemiologic Data

Hardcover | May 13, 2004

bySteve Selvin

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Analytic procedures suitable for the study of human disease are scattered throughout the statistical and epidemiologic literature. Explanations of their properties are frequently presented in mathematical and theoretical language. This well-established text gives readers a clear understandingof the statistical methods that are widely used in epidemiologic research without depending on advanced mathematical or statistical theory. By applying these methods to actual data, Selvin reveals the strengths and weaknesses of each analytic approach. He combines techniques from the fields ofstatistics, biostatistics, demography and epidemiology to present a comprehensive overview that does not require computational details of the statistical techniques described. For the Third Edition, Selvin took out some old material (e.g. the section on rarely used cross-over designs) and added new material (e.g. sections on frequently used contingency table analysis). Throughout the text he enriched existing discussions with new elements, including the analysis ofmulti-level categorical data and simple, intuitive arguments that exponential survival times cause the hazard function to be constant. He added a dozen new applied examples to illustrate such topics as the pitfalls of proportional mortality data, the analysis of matched pair categorical data, andthe age-adjustment of mortality rates based on statistical models. The most important new feature is a chapter on Poisson regression analysis. This essential statistical tool permits the multivariable analysis of rates, probabilities and counts.

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Analytic procedures suitable for the study of human disease are scattered throughout the statistical and epidemiologic literature. Explanations of their properties are frequently presented in mathematical and theoretical language. This well-established text gives readers a clear understandingof the statistical methods that are widely u...

Steve Selvin is at University of California, Berkeley.

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Format:HardcoverDimensions:512 pages, 6.3 × 9.29 × 1.18 inPublished:May 13, 2004Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0195172809

ISBN - 13:9780195172805

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Table of Contents

1. Meaures of Risk: Rates and Probabilities2. Variation and Bias3. Statistical Power and Sample Size Calculations4. Cohort Data: Description and Illustration5. Spatial Data: Analysis and Estimation6. The 2x2 Table and the 2x2x2 Table7. The Analysis of Contingency Table Data: Logistic Model I8. The Analysis of Binary Data: Logistic Model II9. The Analysis of Count Data: Poisson Model10. The Analysis of Matched Data: Three Approaches11. Life Table Analysis: An Introduction12. Survival Data: Estimation of Risk13. Survival Data: Proportional Hazard ModelAppendicesA. Description of the WCGS data setB. Binomial and Poisson distributionsC. The odds ratio and its propertiesD. Partitioning the chi-square statisticE. Maximum likelihood estimation and likelihood functionsF. Problems

Editorial Reviews

"The book contains many motivating and illustrative examples based on real epidemiologic data. A handful of technical exercises are also given in an Appendix."--Mario Peruggia, The Ohio State University