Chapter

The Analysis Of Matched Data: Three Approaches

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/9780195172805.003.10

Series: Monographs in Epidemiology and Biostatistics

 The Analysis Of Matched Data: Three Approaches

Show Summary Details

Preview

This chapter begins with a brief description of matched analysis applied to a continuous outcome variable. It then considers the matched analyses of categorical variables. Finally, the logistic model applied to analyze both continuous and categorical data collected in a matched pattern is discussed. Three sampling patterns serve as a starting point for the description of the analysis of matched data: frequency matching, poststratification, and matching. These sampling strategies are applied to a sample collected to study birth defects over an entire state to illustrate the situation in which the county of birth is an important consideration in the sampling strategy.

Keywords: matched analysis; frequency matching; epidemiologic data analysis; poststratification; matching

Chapter.  14813 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.