Missing completely at random is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
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Missing data, weighting and survey adjustment
Methods for diagnosing missingness, adjusting sample composition and reflecting the effect of weights on precision.
Methods family
Methods for diagnosing missingness, adjusting sample composition and reflecting the effect of weights on precision.
Use methods only after defining the estimand, data structure, assumptions, validation plan and decision consequence.
Missing at random is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Missing not at random is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Listwise deletion is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Pairwise deletion is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Mean imputation is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Regression imputation is a method within missing data, weighting and survey adjustment. Methods for diagnosing missingness, adjusting sample composition and reflecting the effect of weights on precision. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Read the full entry →Hot-deck imputation is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Cold-deck imputation is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Multiple imputation replaces missing values with several draws from an explicit imputation model, analyses each completed dataset and combines estimates to reflect imputation uncertainty.
Expectation-maximisation is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
K-nearest-neighbour imputation is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Random-forest imputation is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Survey weighting is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Design weighting is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Post-stratification is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Raking is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Rim weighting is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Calibration weighting is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Propensity weighting is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Non-response adjustment is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Weight trimming is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Weight capping is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Effective sample size is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Design effects is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Replicate weights is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Jackknife replication is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Balanced repeated replication is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Bootstrap survey weights is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Browse linked method entries
Missing completely at random
Missing completely at random is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodMissing at random
Missing at random is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodMissing not at random
Missing not at random is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodListwise deletion
Listwise deletion is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPairwise deletion
Pairwise deletion is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodMean imputation
Mean imputation is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodRegression imputation
Regression imputation is a method within missing data, weighting and survey adjustment. Methods for diagnosing missingness, adjusting sample composition and reflecting the effect of weights on precision. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodHot-deck imputation
Hot-deck imputation is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodCold-deck imputation
Cold-deck imputation is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodMultiple imputation
Multiple imputation replaces missing values with several draws from an explicit imputation model, analyses each completed dataset and combines estimates to reflect imputation uncertainty.
Open methodExpectation-maximisation
Expectation-maximisation is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodK-nearest-neighbour imputation
K-nearest-neighbour imputation is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodRandom-forest imputation
Random-forest imputation is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodSurvey weighting
Survey weighting is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodDesign weighting
Design weighting is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPost-stratification
Post-stratification is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodRaking
Raking is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodRim weighting
Rim weighting is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodCalibration weighting
Calibration weighting is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPropensity weighting
Propensity weighting is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodNon-response adjustment
Non-response adjustment is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodWeight trimming
Weight trimming is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodWeight capping
Weight capping is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodEffective sample size
Effective sample size is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodDesign effects
Design effects is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodReplicate weights
Replicate weights is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodJackknife replication
Jackknife replication is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodBalanced repeated replication
Balanced repeated replication is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodBootstrap survey weights
Bootstrap survey weights is a statistical or analytical concept within missing data, weighting and survey adjustment. It should be selected for the data-generating process and decision question rather than because software makes it available.
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