Marginal Probabilities and Point Estimation for Conditionally Specified Logistic Regression

Overview

Journal Commun Stat Simul Comput

Date 2021 Dec 20

PMID 34924682

Authors

Curtis Miller

Affiliations

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Abstract

Conditionally specified logistic regression (CSLR) models 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.

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