Understanding regression models in clinical research

Medical research often employs regression models. However, many clinicians are not confident in their ability to interpret these studies, which can lead to misinterpretation and negatively affect clinical practice. This article aims to provide a basic framework for understanding regression models in clinical research. In this article, we explain what regression models are, the purposes they serve, and some of the most common regression models, with examples illustrating how to interpret them in plain language. We discuss common errors and shortcomings in regression models.

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Publication Details

Journal
Drug and Therapeutics Bulletin
Published
2026-05-12
DOI
https://doi.org/10.1136/dtb.2025.000032
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
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article

Understanding regression models in clinical research

Nazim Bhimani
Drug and Therapeutics Bulletin
Meta-analysis and systematic reviews
article

Understanding regression models in clinical research

Nazim Bhimani
article en

Abstract

Medical research often employs regression models. However, many clinicians are not confident in their ability to interpret these studies, which can lead to misinterpretation and negatively affect clinical practice. This article aims to provide a basic framework for understanding regression models in clinical research. In this article, we explain what regression models are, the purposes they serve, and some of the most common regression models, with examples illustrating how to interpret them in plain language. We discuss common errors and shortcomings in regression models.

Drug and Therapeutics Bulletin
The University of Sydney (AU), Royal North Shore Hospital (AU)
Openalex Percentile: Top 6%
Meta-analysis and systematic reviews
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