Marginal log-linear models and mediation analysis
Antonio Forcina
TL;DR
This paper reviews and extends marginal log-linear models, demonstrating their relevance in mediation analysis with logistic regression, and introduces an algorithm for estimating interaction parameters across different marginals.
Contribution
It provides new theoretical results on marginal log-linear models and develops an algorithm for estimating interaction parameters in mediation analysis.
Findings
New results on marginal log-linear models
Algorithm for estimating interaction parameters
Relevance to mediation analysis in logistic regression
Abstract
We review some not well known results about marginal log-linear models, derive some new ones and show how they might be relevant in mediation analysis within logistic regression. In particular, we elaborate on the relation between interaction parameters defined within different marginal distributions and describe an algorithm for estimating the sane interaction parameters within different marginals.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Statistical Methods and Models · Bayesian Methods and Mixture Models · Bayesian Modeling and Causal Inference