Fig. 5From: Censcyt: censored covariates in differential abundance analysis in cytometryMultiple cluster simulation results testing for the association of the binary covariate. True positive rate (TPR) vs. False discovery rate (FDR) curves for censoring rates of 30%, 50% and 70% (rows) and samples sizes of 50, 100, 200, 400 (columns). Dots represent values at different significance thresholds (0.01, 0.05, 0.1; dashed lines). Filled dots have a lower FDR than the corresponding threshold, while empty dots have a FDR above.The x-axis is square root transformed. cc: complete case analysis, km: Kaplan–Meier imputation, kme: Kaplan–Meier imputation with an exponential tail of the survival function, mrl: mean residual life imputation (conditional multiple imputation), pmm: predictive mean matching (treating censored values as missing), rs : risk set imputation. GLMM uses the (unobserved) ground truth of the survival time and can be considered to be the maximum possible performance of the other methods. ncGLMM: same as GLMM but uses only the binary covariate for fitting and testingBack to article page