. 2022 Mar 9;24(3):386. doi: 10.3390/e24030386

Table A10.

Triple of simulated prediction coverage rates averaged over the five different covariance structures for the linear model and $r = 20 %$ missing rates. The triple covers the sample sizes $(n_{1}; n_{2}; n_{3}) = (100, 500, 1000)$ using a significance level of $α = 0.05$ .

Coverage Rate for the Linear Model with r = 20% Missings
Imputation Method	$P I_{n, e m p Q}$	$P I_{n, R e s V a r}$	$P I_{n, w e i g h t e d}$
missForest	$(0.9450; 0.9598; 0.9634)$	$(0.9566; 0.9634; 0.9646)$	$(0.9438; 0.9434; 0.9430)$
mice_pmm	$(0.9468; 0.9586; 0.9618)$	$(0.9596; 0.9614; 0.9622)$	$(0.9450; 0.9448; 0.9410)$
mice_norm	$(0.9440; 0.9626; 0.9604)$	$(0.9562; 0.9646; 0.9616)$	$(0.9436; 0.9516; 0.9472)$
mice_rf	$(0.9470; 0.9628; 0.9628)$	$(0.9606; 0.9664; 0.9644)$	$(0.9480; 0.9474; 0.9452)$
gbm	$(0.9418; 0.9570; 0.9566)$	$(0.9574; 0.9598; 0.9582)$	$(0.9440; 0.9414; 0.9372)$
xgboost	$(0.9440; 0.9514; 0.9598)$	$(0.9534; 0.9546; 0.9604)$	$(0.9412; 0.9384; 0.9392)$