Alternative approaches to the analysis of binary and categorical repeated measurements.

Abstract:

:The purpose of this paper is to describe, illustrate, and compare a number of different approaches to the analysis of repeated binary and categorical data. These approaches include empirical generalized least squares and generalized estimating equations, as well as traditional log-linear modeling methods. It is shown that the interpretation of the parameters in the various models depends critically on the type of model fitted. In particular, we contrast the population-averaged and subject-specific models. Two example data sets are used to illustrate the approaches, and throughout we concentrate on methods that can be easily implemented.

journal_name

J Biopharm Stat

authors

Kenward MG,Jones B

doi

10.1080/10543409208835036

keywords:

subject

Has Abstract

pub_date

1992-01-01 00:00:00

pages

137-70

issue

2

eissn

1054-3406

issn

1520-5711

journal_volume

2

pub_type

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