Year: 2026
Type: article
Abstract: In including random effects to account for dependent observations, the odds ratio interpretation of logistic regression coefficients is changed from population-averaged to subject-specific. This is unappealing in many applications, motivating a rich literature on methods that maintain the marginal logistic regression structure without random effects, such as generalized estimating equations. However, for spatial data, random effect approaches are appealing in providing a full probabilistic characterization of the data that can be used for prediction. We propose a new class of spatial logistic regression models that maintain both population-averaged and subject-specific interpretations through a novel class of bridge processes for spatial random effects. These processes are shown to have appealing computational and theoretical properties, including a scale mixture of normal representation. The new methodology is illustrated with simulations and an analysis of childhood malaria prevalence data in Gambia.
Source: Statistics in Medicine
DOI: 10.1002/sim.70399
Authors: Changwoo J. Lee, David B. Dunson
Institution: Duke University
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: bronze
Awards: G4041085574, G434337789, G4876721008, G4937468798, G5783601166, A Planetary Inventory of Life – a New Synthesis Built on Big Data Combined with Novel Statistical Methods, NSF-AoF: III: Small: Autonomous biodiversity monitoring through wireless communication technologies and artificial intelligence, G7711309590, G7944295140, G8858395165, G8876996369, Improving inferences on health effects of chemical exposures
OpenAlex ID: W7128058416