Table 3.

Details of the five missing data methods investigated

Label	Missing data method
CC	Complete case analysis
SI	Single imputation using regression switching imputation with predictive mean matching with only one imputation fitted using the 'pmm' function within the mice library [40]
MI-aregImpute	MI fitting flexible additive imputation models using the 'aregImpute' function in the Hmisc library [21]
MI-MICE	MI using regression switching imputation with linear or logistic regression models as appropriate for each incomplete covariate fitted using the mice library [40]
MI-MICE-PMM	MI using regression switching imputation with predictive mean matching fitted using the 'pmm' function within the mice library [40]

Key: PMM = predictive mean matching; MI = multiple imputation