Examining covariate-specific treatment effects in individual participant data meta-analysis: Framing aggregation bias in terms of trial-level confounding and funnel plots.

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Title: Examining covariate-specific treatment effects in individual participant data meta-analysis: Framing aggregation bias in terms of trial-level confounding and funnel plots.
Authors: Siegel LK; Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA., Koopmeiners JS; Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA., Hartmann-Boyce J; Department of Health Promotion and Policy, School of Public Health & Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA., Godolphin PJ; MRC Clinical Trials Unit at UCL, University College London, London, UK., Babiker AG; MRC Clinical Trials Unit at UCL, University College London, London, UK., Touloumi G; Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece., Knowlton KU; Intermountain Medical Center, Intermountain Heart Institute, Salt Lake City, UT, USA., Riley RD; School of Health Sciences, University of Birmingham, Birmingham, UK; and National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, UK.
Source: Research synthesis methods [Res Synth Methods] 2026 Jan; Vol. 17 (1), pp. 194-209. Date of Electronic Publication: 2025 Oct 23.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Blackwell Country of Publication: England NLM ID: 101543738 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1759-2887 (Electronic) Linking ISSN: 17592879 NLM ISO Abbreviation: Res Synth Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1759-2887
DOI:10.1017/rsm.2025.10043