Chapter

The Analysis of Binary Data: Logistic Model II

Steve Selvin

in Statistical Analysis of Epidemiologic Data

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/9780195172805.003.08

Series: Monographs in Epidemiology and Biostatistics

 The Analysis of Binary Data: Logistic Model II

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The three basic features of the logistic regression model are the appropriateness of binary outcome variables, estimation of adjusted odd ratios as a measure of association, and the effective analysis of both continuous and discrete risk factors. This chapter focuses on the last property. A logistic model allows the analysis of risk factors measured in their original units, producing a less arbitrary and more powerful analysis.

Keywords: logistic regression model; epidemiologic data analysis; risk factors; analysis

Chapter.  8394 words.  Illustrated.

Subjects: Public Health and Epidemiology

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