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. 2019 Jun 21;19:129. doi: 10.1186/s12874-019-0754-4

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© The Author(s). 2019

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 — FWER (top) and disjunctive power (bottom) obtained when evaluating three continuous outcomes using a variety of methods to control the FWER. In the left hand graphs, there are no missing data. In the right hand graphs, the missing data are missing completely at random, with 15% missing in one outcome and 25% missing in the other two outcomes (‘Missing data’) The graphs display various degrees of correlation between the outcomes, ranging from ρ = 0 to ρ = 0.8. The Monte Carlo standard errors (MCSE) were similar across all methods. When there was no missing data, the MCSE was between 0.001–0.004 for the disjunctive power and 0.002–0.004 for the FWER. In the missing data scenario, the MCSE was between 0.001–0.004 for the disjunctive power and between 0.001–0.004 for the FWER