Book

Statistical Analysis of Epidemiologic Data

Steve Selvin

Third edition

Published in print June 2004 | ISBN: 9780195172805
Published online September 2009 | e-ISBN: 9780199865697 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195172805.001.0001

Series: Monographs in Epidemiology and Biostatistics

Statistical Analysis of Epidemiologic Data

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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 text provides a clear understanding of 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, this book reveals the strengths and weaknesses of each analytic approach. The book combines techniques from the fields of statistics, biostatistics, demography, and epidemiology to present an overview that does not require computational details of the statistical techniques described. Throughout, the text contains illuminating discussions with new elements for this edition, including the analysis of multi-level categorical data and simple, intuitive arguments that exponential survival times cause the hazard function to be constant. There are also new applied examples to illustrate such topics as the pitfalls of proportional mortality data, the analysis of matched pair categorical data, and the 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.

Keywords: human disease; epidemiological research; mathematical theory; statistical theory; multi-level categorical data; hazard function; proportional mortality data; matched pair categorical data; Poisson regression analysis

Book.  506 pages.  Illustrated.

Subjects: Public Health and Epidemiology

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Table of Contents

Measures Of Risk: Rates And Probabilities in Statistical Analysis of Epidemiologic Data

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Variation and Bias in Statistical Analysis of Epidemiologic Data

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Statistical Power and Sample Size Calculations in Statistical Analysis of Epidemiologic Data

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Cohort Data: Description and Illustration in Statistical Analysis of Epidemiologic Data

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Spatial Data: Analysis And Estimation in Statistical Analysis of Epidemiologic Data

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The 2 × <i>k</i> Table and the 2 × 2 × 2 Table in Statistical Analysis of Epidemiologic Data

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The Analysis of Contingency Table Data: Logistic Model I in Statistical Analysis of Epidemiologic Data

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The Analysis of Binary Data: Logistic Model II in Statistical Analysis of Epidemiologic Data

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The Analysis of Count Data: Poisson Model in Statistical Analysis of Epidemiologic Data

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The Analysis Of Matched Data: Three Approaches in Statistical Analysis of Epidemiologic Data

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