Common reporting errors in subgroup analysis: a comparison of interaction and stratified regression models

This study highlights the strengths and limitations of interaction regression and stratified regression in estimating heterogeneous treatment effects. Researchers should avoid adopting a hybrid strategy for reporting subgroup analysis results, such as presenting treatment effect estimates from stratified regressions and significance tests from interaction regressions, because the two methods may exhibit substantial differences in Type I error control under certain conditions.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2026-03-07
DOI
https://doi.org/10.1186/s12874-026-02795-3
Primary Topic
Statistical Methods in Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Common reporting errors in subgroup analysis: a comparison of interaction and stratified regression models

Ran Sun, Chingkwong Tsoi
BMC Medical Research Methodology
Statistical Methods in Epidemiology
article

Common reporting errors in subgroup analysis: a comparison of interaction and stratified regression models

Ran Sun, Chingkwong Tsoi
article en

Abstract

This study highlights the strengths and limitations of interaction regression and stratified regression in estimating heterogeneous treatment effects. Researchers should avoid adopting a hybrid strategy for reporting subgroup analysis results, such as presenting treatment effect estimates from stratified regressions and significance tests from interaction regressions, because the two methods may exhibit substantial differences in Type I error control under certain conditions.

BMC Medical Research Methodology
Nanjing University (CN)
Climate action
Openalex Percentile: Top 35%
Statistical Methods in Epidemiology
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