@article {788,
	title = {A unifying framework for marginalized random intercept models of correlated binary outcomes.},
	journal = {Int Stat Rev},
	volume = {82},
	year = {2014},
	month = {2014 Aug},
	pages = {275-295},
	abstract = {<p>We demonstrate that many current approaches for marginal modeling of correlated binary outcomes produce likelihoods that are equivalent to the copula-based models herein. These general copula models of underlying latent threshold random variables yield likelihood-based models for marginal fixed effects estimation and interpretation in the analysis of correlated binary data with exchangeable correlation structures. Moreover, we propose a nomenclature and set of model relationships that substantially elucidates the complex area of marginalized random intercept models for binary data. A diverse collection of didactic mathematical and numerical examples are given to illustrate concepts.</p>},
	issn = {0306-7734},
	doi = {10.1111/insr.12035},
	author = {Swihart, Bruce J and Caffo, Brian S and Crainiceanu, Ciprian M}
}
