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