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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Censcyt: censored covariates in differential abundance analysis in cytometry

Fig. 1

Single cluster simulation results for a sample size of 100 for censoring rates of 30%, 50% and 70%. Shown are four measures calculated from 100 simulation repetitions: raw bias (RB), coverage rate (CR), confidence interval (CI) width and root mean squared error (RMSE). cc: complete case analysis, km: Kaplan–Meier imputation, kme: Kaplan–Meier imputation with an exponential tail, mrl: mean residual life imputation (conditional multiple imputation), pmm: predictive mean matching (treating censored values as missing), rs: risk set imputation. Other parameter values are: true regression coefficient \(\beta _1=-\,1e{-}4\), number of multiple imputations \(=\,50\) and the variance of the random effect \(=\,1\)

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