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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 Matched Data: Three Approaches

The Analysis Of Matched Data: Three Approaches

Chapter:
(p.291) 10 THE ANALYSIS OF MATCHED DATA: THREE APPROACHES
Source:
Statistical Analysis of Epidemiologic Data
Author(s):

Steve Selvin

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195172805.003.10

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

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