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Table 1 Proportion of significant clusters for different total number of clusters (20, 50, 100, 400) for different significant levels (0.01, 0.05, 0.1) after multiple hypothesis correction in the case study

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

Number of cluster Cut off mrl rs km cc
20 0.01 0.35 0 0 0.75
0.05 0.55 0 0 0.9
0.1 0.85 0 0.1 0.95
50 0.01 0.3 0 0 0.62
0.05 0.48 0 0 0.76
0.1 0.66 0 0 0.8
100 0.01 0.13 0 0 0.49
0.05 0.32 0 0 0.59
0.1 0.39 0 0 0.64
400 0.01 0 0 0 0.0575
0.05 0 0 0 0.07
0.1 0 0 0 0.108
  1. cc complete case analysis, km Kaplan–Meier imputation, mrl mean residual life imputation (conditional multiple imputation), rs Risk set imputation