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Statistical Analysis of Epidemiologic Data$
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Steve Selvin

Print publication date: 2004

Print ISBN-13: 9780195172805

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780195172805.001.0001

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The Analysis of Binary Data: Logistic Model II

The Analysis of Binary Data: Logistic Model II

Chapter:
(p.236) 8 THE ANALYSIS OF BINARY DATA: LOGISTIC MODEL II
Source:
Statistical Analysis of Epidemiologic Data
Author(s):

Steve Selvin

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195172805.003.08

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

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