๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A model for a multivariate binary response with covariates based on compatible conditionally specified logistic regressions

โœ Scribed by Harry Joe; Ying Liu


Book ID
104302406
Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
438 KB
Volume
31
Category
Article
ISSN
0167-7152

No coin nor oath required. For personal study only.

โœฆ Synopsis


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.


๐Ÿ“œ SIMILAR VOLUMES


A comparison of mixed effects logistic r
โœ Thomas R. Ten Have; Allen R. Kunselman; Luan Tran ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 111 KB ๐Ÿ‘ 3 views

We compare mixed effects logistic regression models for binary response data with two nested levels of clustering. The comparison of these models occurs in the context of developmental toxicity data sets, for which multiple types of outcomes (first level) are measured on each rat pup (second level)