UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Non-linear effects and effect modification at the participant-level in IPD meta-analysis part 1: Analysis methods are often substandard

Marlin, Nadine; Godolphin, Peter J; Hooper, Richard; Riley, Richard D; Rogozinska, Ewelina; (2023) Non-linear effects and effect modification at the participant-level in IPD meta-analysis part 1: Analysis methods are often substandard. Journal of Clinical Epidemiology , 159 pp. 309-318. 10.1016/j.jclinepi.2023.04.013. Green open access

[thumbnail of 1-s2.0-S0895435623001014-main.pdf]
Preview
Text
1-s2.0-S0895435623001014-main.pdf - Accepted Version

Download (1MB) | Preview

Abstract

OBJECTIVE: To review analysis methods used for linear effect modification (LEM), non-linear associations (NL) and non-linear effect modification (NLEM) at the participant-level in individual participant data meta-analyses (IPDMA). STUDY DESIGN AND SETTING: We searched Medline, Embase, Web of Science, Scopus, PsycINFO and the Cochrane Library to identify IPDMA of randomized controlled trials (PROSPERO CRD42019126768). We investigated if and how IPDMA examined LEM, NL and NLEM, including whether aggregation bias was addressed and if power was considered. RESULTS: We screened 6466 records, randomly sampled 207 and identified 100 IPDMA of LEM, NL or NLEM. Power for LEM was calculated a priori in 3 IPDMA. Of 100 IPDMA, 94 analysed LEM, 4 NLEM and 8 NL. One-stage models were favoured for all three (56%, 100%, 50% respectively). Two-stage models were used in 15%, 0% and 25% of IPDMA with unclear descriptions in 30%, 0% and 25%, respectively. Only 12% of one-stage LEM and NLEM IPDMA provided sufficient detail to confirm they had addressed aggregation bias. CONCLUSION: Investigation of effect modification at the participant-level is common in IPDMA projects, but methods are often open to bias or lack detailed descriptions. Non-linearity of continuous covariates and power of IPDMA are rarely assessed.

Type: Article
Title: Non-linear effects and effect modification at the participant-level in IPD meta-analysis part 1: Analysis methods are often substandard
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jclinepi.2023.04.013
Publisher version: https://doi.org/10.1016/j.jclinepi.2023.04.013
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Effect modification, Individual participant data meta-analysis, Non-linear, Sample size, interaction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10169603
Downloads since deposit
12Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item