An Improved Pooled Logistic Regression Implementation

The proposed implementation can greatly simplify estimation of pooled logistic regression models, which is especially important when relying on the bootstrap for inference.

Authors

Publication Details

Journal
Epidemiology
Published
2025-12-31
DOI
https://doi.org/10.1097/ede.0000000000001945
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
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article

An Improved Pooled Logistic Regression Implementation

Justin B. DeMonte, Mark Klose, Stephen R. Cole, Paul N Zivich et al.
Epidemiology
Advanced Causal Inference Techniques
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An Improved Pooled Logistic Regression Implementation

Justin B. DeMonte, Mark Klose, Stephen R. Cole, Paul N Zivich, Jessie K Edwards, Bonnie E Shook-Sa
article en

Abstract

The proposed implementation can greatly simplify estimation of pooled logistic regression models, which is especially important when relying on the bootstrap for inference.

Epidemiology
Good health and well-being
Openalex Percentile: Top 21%
Advanced Causal Inference Techniques
DOIOpen Access PDFOpenAlex
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An Improved Pooled Logistic Regression Implementation — Justin B. DeMonte, Mark Klose, et al. · Epidemiology (2025) | TGRS Research Map | TGRS