CORRELATED BINARY REGRESSION USING A QUADRATIC EXPONENTIAL MODEL
成果类型：
Article
署名作者：
ZHAO, LP; PRENTICE, RL
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2337004
发表日期：
1990
页码：
642648
关键词：
摘要：
A model of quadratic exponential form is parameterized in terms of marginal means and pairwise correlations for the regression analysis of correlated binary data. Pseudo-maximum likelihood methods using a special case termed the multiplicative model are proposed, but are noted to be computationally unattractive if the ''blocks'' of correlated responses are at all large. On the other hand score estimating functions for mean and correlation parameters are shown to be of a particularly simple form under the quadratic exponential family. Special cases of such estimating functions having attractive computational properties are identified and illustrated.