Construct · 1 fields · 1 citations

imputation: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed
imputation1 CONSTRUCTImputationRUBIN · 1976

A single standalone construct; nearby constructs are located against it in the Collider. Tap a field for its definition, unit, and measures.

Statistics

Fill missing data with model-based values

In statistics, imputation is the practice of replacing missing data points with substituted values so that an incomplete dataset can be analysed with standard methods; single imputation fills each gap once, while multiple imputation fills it several times to carry the uncertainty of the guess into the final estimates. Rubin's 1976 Inference and missing data set the framework, defining when data are missing at random and when imputation can proceed without bias. The referent is a data-repair procedure for missingness, with no connection to a theological crediting of righteousness beyond the shared word.[1]

Unit
A substituted value standing in for each missing observation
Recovery means
Not applicable
Measured by
Assessed by how well imputations preserve relationships in the data and by the between-imputation variance in multiple imputation

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Nearby constructs

attribution3 fields · 6 citationsjingle · one word, three constructsbias6 fields · 8 citationsjingle · one name, six constructscarry1 fields · 1 citationsanchor · a standalone construct

References

  1. Rubin, D. B. (1976). Inference and missing data. Biometrika, 63(3), 581–592. https://doi.org/10.1093/biomet/63.3.581

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