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Lorelogram：探索纵向分类响应依赖性的回归方法AI 解读

We propose flexible regression estimators of the marginal pairwise log-odds ratio measure of association for longitudinal categorical responses. The function that we estimate is the log-odds ratio analog of the correlogram; hence we name the function the lorelogram. Measuring the association of categorical responses on the log-odds scale allows ease of interpretation and allows pairwise association to remain unconstrained by the marginal means, a feature not shared by…

聚类有序测量的边际回归模型AI 解读

This article constructs statistical models for clustered ordinal measurements. We specify two regression models: one for the marginal means and one for the marginal pairwise global odds ratios. Of particular interest are problems in which the odds ratio regression is a focus. Simple assumptions about higher-order conditional moments give a quadratic exponential likelihood function with second-order estimating equations (GEE2) as score equations. But computational difficulty…