期刊
STATISTICS & PROBABILITY LETTERS
卷 47, 期 4, 页码 329-335出版社
ELSEVIER
DOI: 10.1016/S0167-7152(99)00174-1
关键词
alternating logistic regression; composite likelihood; generalized estimating equations; marginal models; odds ratio; pairwise likelihood
The method of pairwise likelihood is investigated for analyzing clustered or longitudinal binary data. The pairwise likelihood is a product of bivariate likelihoods for within cluster pairs of observations, and its maximizer is the maximum pairwise likelihood estimator, We discuss the computational advantages of pairwise likelihood relative to competing approaches, present some efficiency calculations and argue that when cluster sizes are unequal a weighted pairwise likelihood should be used for the marginal regression parameters, whereas the unweighted pairwise likelihood should be used for the association parameters. (C) 2000 Elsevier Science B.V. All rights reserved.
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