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Table 2 Average RMSE of 100 simulations using the human atherothrombotic dataset for KNN-TN, KNN-CR and KNN-EU

From: Distribution based nearest neighbor imputation for truncated high dimensional data with applications to pre-clinical and clinical metabolomics studies

MNAR/MAR Sample size Group KNN-TN KNN-CR KNN-EU
6%/3% 50 sCAD 1.145 (0.047) 1.171 (0.046) 1.410 (0.052)
50 TYPE1 1.255 (0.054) 1.273 (0.053) 1.555 (0.057)
50 TYPE2 1.266 (0.051) 1.279 (0.050) 1.567 (0.055)
100 sCAD 1.083 (0.048) 1.109 (0.041) 1.403 (0.053)
100 TYPE1 1.183 (0.048) 1.199 (0.041) 1.531 (0.053)
100 TYPE2 1.183 (0.048) 1.191 (0.041) 1.531 (0.053)
10%/5% 50 sCAD 1.146 (0.045) 1.168 (0.045) 1.337 (0.050)
50 TYPE1 1.262 (0.059) 1.280 (0.057) 1.490 (0.059)
50 TYPE2 1.296 (0.048) 1.315 (0.047) 1.531 (0.051)
100 sCAD 1.075 (0.031) 1.095 (0.031) 1.330 (0.034)
100 TYPE1 1.171 (0.039) 1.189 (0.038) 1.460 (0.041)
100 TYPE2 1.189 (0.040) 1.207 (0.038) 1.490 (0.040)
20%/10% 50 sCAD 1.120 (0.049) 1.140 (0.049) 1.210 (0.047)
50 TYPE1 1.261 (0.061) 1.282 (0.061) 1.398 (0.059)
50 TYPE2 1.354 (0.058) 1.373 (0.058) 1.484 (0.054)
100 sCAD 1.033 (0.035) 1.053 (0.035) 1.198 (0.034)
100 TYPE1 1.153 (0.041) 1.176 (0.041) 1.372 (0.041)
100 TYPE2 1.246 (0.037) 1.266 (0.037) 1.451 (0.036)
  1. Total missing was considered at 9%, 15% and 30%, and within each missing, MNAR was greater than MAR