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Missing Data Mechanisms/Evidence
Method evidence record

Missing Data Mechanisms

Missing data mechanisms, introduced by Donald Rubin in 1976, provide a formal taxonomy for classifying why observations are absent from a dataset. The three categories — Missing Completely At Random (MCAR), Missing At Random (MAR), and Missing Not At Random (MNAR) — describe the relationship between the probability of missingness and the observed or unobserved values. Identifying the correct mechanism is essential because it determines which analytical strategies preserve valid and unbiased inference.

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Missing Data Mechanisms (MCAR, MAR, MNAR)
Taxonomic method record · process-pipeline / statistics
  • Rubin, D. B. (1976). Inference and missing data. Biometrika, 63(3), 581–592. · DOI 10.1093/biomet/63.3.581
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Related methods

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Used in the same domainEM Algorithmmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMICEmachine-suggested · Relational suggestion, not evidence.Same method familyMultiple Imputationmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

1 recorded citation, copied from the method source record.

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