@article { ISI:A1996VX85400006,
	title = {A model for a multivariate binary response with covariates based on compatible conditionally specified logistic regressions},
	journal = {Statistics \& Probability Letters},
	volume = {31},
	number = {2},
	year = {1996},
	month = {DEC 16},
	pages = {113-120},
	abstract = {A model for a multivariate binary response vector with covariates is obtained. The conditional distribution of each binary response given the other binary responses and the covariates is equivalent to a logistic regression. A simple condition on the regression parameters is necessary and sufficient for the conditional distributions to be compatible, that is, yield a multivariate distribution for the binary response vector. The multivariate model has a wide range of dependence structure for the binary response variables, so it is more generally applicable compared with previous conditional models. The model is applied to a data set from cardiac surgery.},
	issn = {0167-7152},
	doi = {10.1016/S0167-7152(96)00021-1},
	author = {Joe, H and Liu, Y}
}
