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

More Like This

Show all results sharing this subject:

  • Public Health and Epidemiology

GO

Show Summary Details

Preview

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

Full text: subscription required

How to subscribe Recommend to my Librarian

Buy this work at Oxford University Press »

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.