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. 2018 Sep 6;21(2):236–252. doi: 10.1093/biostatistics/kxy040

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© The Author 2018. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 2. — The covariates included in the SPS prediction model include partial pressure of oxygen in the arterial blood (pafi), mean blood pressure (meanbp), white blood count (wblc), albumin (alb), APACHE III respiration score (resp), temperature (temp), heart rate per minute (hrt), bilirubin (bili), creatinine (crea), and sodium (sod). There are 23 patterns present in the SUPPORT data, and missing covariates are denoted with “X”. is the total number of subjects in each missing data pattern. Pattern submodels (PS), multiple imputation with missingness indicators (MIMI), complete case submodels (CCS), and traditional multiple imputation (MI) methods are all compared. The top two figures are the unweighted pattern specific PE, and the bottom two figures are the pattern specific contribution to the PE in which the partial PE is weighted by the observed proportion of individuals in each pattern.

Inline graphic — The covariates included in the SPS prediction model include partial pressure of oxygen in the arterial blood (pafi), mean blood pressure (meanbp), white blood count (wblc), albumin (alb), APACHE III respiration score (resp), temperature (temp), heart rate per minute (hrt), bilirubin (bili), creatinine (crea), and sodium (sod). There are 23 patterns present in the SUPPORT data, and missing covariates are denoted with “X”. is the total number of subjects in each missing data pattern. Pattern submodels (PS), multiple imputation with missingness indicators (MIMI), complete case submodels (CCS), and traditional multiple imputation (MI) methods are all compared. The top two figures are the unweighted pattern specific PE, and the bottom two figures are the pattern specific contribution to the PE in which the partial PE is weighted by the observed proportion of individuals in each pattern.