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Table 4 Average MLCI of 100 simulations using the Myocardial, Atherothrombotic and African Race dataset with 15% missingness

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

Imputation Method Myocardial Dataset Atherothrombotic Dataset African Race Dataset
MLCI MLCI MLCI
Zero 0.061 (0.054) 0.086 (0.026) 0.028 (0.026)
Min 0.396 (0.061) 0.248 (0.069) 0.135 (0.078)
Mean 0.440 (0.089) 0.368 (0.103) 0.266 (0.134)
KNN-TR 0.510 (0.097) 0.392 (0.110) 0.274 (0.140)
KNN-CR 0.504 (0.094) 0.391 (0.110) 0.274 (0.139)
KNN-EU 0.474 (0.091) 0.380 (0.110) 0.272 (0.139)
  1. The Myocardial dataset was comparing cases and controls of sample size 25 in each group, Atherothrombotic dataset was comparing sCAD and Type 2 MI of sample size 50 in each group and the African Race dataset was comparing Tanzania and Ethiopia of sample size 15 and 25 respectively