Correlated Binary Regression Using a Quadratic Exponential Model
提出一种二次指数模型，用边际均值和成对相关性参数化，用于分析相关二元数据的回归。给出伪极大似然方法和得分估计函数，并指出其计算特性。
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.