Marginal Regression Analysis of a Multivariate Binary Response
提出用均值参数对多元二元响应进行回归分析，通过依赖比建模关联，并用最大似然估计灵活处理高阶关联，适用于变聚类大小和恒定聚类大小的数据。
We propose the use of the mean parameter for regression analysis of a multivariate binary response. We model the association using dependence ratios defined in terms of the mean parameter, the components of which are the joint success probabilities of all orders. This permits flexible modelling of higher-order associations, using maximum likelihood estimation. We reanalyse two data sets, one with variable cluster size and the other a longitudinal data set with constant cluster size.