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Marginal probabilities and point estimation for conditionally specified logistic regression.

ABSTRACT: Conditionally specified logistic regression (CSLR) models p binary response variables. It is shown that marginal probabilities can be derived for a CSLR model. We also extend the CSLR model by allowing third order interactions. We apply two versions of CSLR to simulated data and a set of real data, and compare the results to those from other modeling methods.

SUBMITTER: Miller C 

PROVIDER: S-EPMC8673652 | biostudies-literature |

REPOSITORIES: biostudies-literature

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