Research Topic · Peer-Reviewed

Generalized Linear Model

Generalized linear models are statistical frameworks that extend ordinary linear regression to accommodate response variables with non-normal distributions, linking predictors to outcomes through a specified function. Research published in Model Based Research demonstrates the application of generalized linear model…

Curated from this journal's research 📚 4 peer-reviewed articles cited Cited 39× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed July 2026

Overview

Generalized linear models are statistical frameworks that extend ordinary linear regression to accommodate response variables with non-normal distributions, linking predictors to outcomes through a specified function. Research published in Model Based Research demonstrates the application of generalized linear models across diverse fields, including public health, operations research, clinical medicine, and gastroenterology. Studies have employed these models to identify factors influencing male participation in childhood immunization programs, examining how attitudes, social influences, and self-efficacy predict health behaviors in resource-limited settings. In operations research, generalized linear modeling approaches have been compared with optimization techniques to evaluate inventory management strategies under varying demand conditions. Clinical applications include analyzing anatomical measurements in colorectal cancer screening, where these models help quantify relationships between structural features and disease detection outcomes, as well as assessing treatment efficacy and safety outcomes in randomized controlled trials for musculoskeletal conditions. The flexibility of generalized linear models to handle binary, count, and continuous outcomes while accounting for non-linear relationships makes them essential tools for evidence-based decision-making across medical, operational, and social science domains where understanding predictor-outcome relationships is critical for intervention design and policy development.

Research published in this journal

4 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 4 articles above have been cited 39 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Generalized Linear Model, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.