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Table 1 Summary of missing data categories

From: Evaluation of different approaches for missing data imputation on features associated to genomic data

  Explainable logic (vs. random) Identifiable pattern Affects statistical inference Action
Structurally Missing Data (SMD) X    Exclude entry
Missing Completely At Random (MCAR)    X Impute
Missing At Random (MAR)   X X Impute
Missing Not At Random (MNAR)   X X Impute
  1. Rows correspond to different missing data scenarios; columns correspond to relevant characteristics. First column stands for the origin of the missing data (randomly generated or not). Second column states if a pattern of missing data can be recognized in the data set. Third column shows the impact on statistical inferences. The last column shows the action that needs to be taken to address the missing data problem