✦ LIBER ✦

Analyzing correlated binary data using SAS

✍ Scribed by Stuart R. Lipsitz; David P. Harrington

Publisher: Elsevier Science
Year: 1990
Tongue: English
Weight: 759 KB
Volume: 23
Category: Article
ISSN: 0010-4809
DOI: 10.1016/0010-4809(90)90021-4

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✦ Synopsis

We discuss methods for analyzing repeated binary measurements on the same individual. In spite of the fact that the repeated measurements on the same individual are correlated, the ordinary logistic regression maximum likelihood estimates (which assume that the repeated measures are independent) are consistent and asymptotically normal (K. Y. Liang and S. L. Zeger, Biometrika 73,13 (1986)). However, the inverse of the estimated information matrix (assuming independence) can give inconsistent estimates of the asymptotic variance of estimated parameters. We describe how to obtain the logistic regression estimates, as well as a consistent estimate of their covariance matrix, in SAS, with minimal matrix manipulations.

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