Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data.

Abstract:

:Binary matched-pairs data occur commonly in longitudinal studies, such as in cross-over experiments. Many analyses for comparing the matched probabilities of a particular outcome do not utilize pairs having the same outcome for each observation. An example is McNemar's test. Some methodologists find this to be counterintuitive. We review this issue in the context of subject-specific and population-averaged models for binary data, with various link functions. For standard models and inferential methods, pairs with identical outcomes may affect the estimated size of the effect and its standard error, but they have negligible, if any, effect on significance. We also discuss extension of this result to matched sets.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Agresti A,Min Y

doi

10.1002/sim.1589

subject

Has Abstract

pub_date

2004-01-15 00:00:00

pages

65-75

issue

1

eissn

0277-6715

issn

1097-0258

journal_volume

23

pub_type

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