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. 2018 May 18;18:41. doi: 10.1186/s12874-018-0492-z

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© The Author(s). 2018

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 2 — Simulation-based power estimates (based on 10,000 replications) for the planned IPD random effects meta-analysis* of 24 trials for detecting a treatment-BMI interaction when the true effect was − 0.1, conditional on a range of values of the between-study standard deviation (τ_λ) of the interaction effect, when either correctly analysing BMI as continuous or when wrongly analysing BMI as binary (≥ 30 versus < 30). *Based on using change score model (4) in each trial followed by random effects meta-analysis model (9). Standard = DerSimonian and Laird estimation, with p-values and CIs derived using standard normal-based method; HKSJ = DerSimonian and Laird estimation, with p-values and CIs derived using approach of Hartung-Knapp Sidik-Jonkman