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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
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BioData Mining

ISSN: 1756-0381