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. 2020 Jun 8;20:148. doi: 10.1186/s12874-020-01038-3

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

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Fig. 4 — Beta- coefficient and standard error with regard to the effect of the MedDietScore on the participants’ likelihood of being hypertensive, after adjusting for age and sex, under three different scenarios concerning the number of missing items in the total scale and 7 different missing data handling methods; the ATTICA epidemiological study. Notes: a Original dataset: N = 1419 participants (64.7%) have missing data in the total score of the MedDietScore scale, b N = 855 participants have missing data in 1–2 items of the MedDietScore scale and cN = 564 participants have missing data in 3+ items of the MedDietScore scale. CCA = Complete case analysis (based on 775 participants), SMI = Score mean imputation, IMI = Item mean imputation, SRI = Stochastic regression imputation, PMI = Person mean imputation, MI = Multiple imputation