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To impute OC values < LOD, we defined an additional function for bootstrap multiple imputation of interval censored variables (Lubin et al. 2004).
Multiple imputation of missing data by chained equation method was used to derive five imputed data sets (Royston, 2004, 2005a, 2005b; van Buuren et al, 2006).
For both end points, the same model for adjusted Cox regression with multiple imputation of systolic blood pressure as additional covariate was applied.
Multiple imputation of missing item response enabled inclusion of all responders.
Minor differences are probably due to the multiple imputation of missing data in our study.
Multiple imputation of missing costs with possibly zero values is more complicated, and two-part models can be more useful.
A popular approach to derive these proficiency estimates is the multiple imputation of plausible values (PV) to enable subsequent analyses on complete data sets.
Moreover, the multiple imputation of plausible values allows investigators to adequately quantify the uncertainty in the parameter estimation of subsequent analyses.
We implemented multiple imputation of missing data, which yielded five data sets.
To address the fact that we were missing 22% of MVL data, we conducted multiple imputation of MVL.
Second, alternative analyses used last observation carried forward (LOCF) and multiple imputation of missing outcomes from other outcomes and website use data.
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