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. 2017 Aug 22;17:129. doi: 10.1186/s12874-017-0404-7

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© The Author(s). 2017

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. 1 — Power for the condition where the percentage of missing data was 25% and the correlation between the variables was 0.4 and the outcome was included in the imputation model. Note that for the continuous variable the lines for RR and VAR overlap. Full data = complete data; MPR = median P rule; CHI = chi-square test with multiple degrees of freedom; MR = Meng and Rubin pooling; VAR = pooled sampling variance method; RR = Rubin’s Rules