= Multiple imputation by chained equations
= Full conditional specification
{synonym}
= MICE
{c}
{synonym}
Specify a <conditional distribution> for each incomplete variable given the others, cycle through parameter draws and missing-value draws, and retain multiple completed datasets after suitable convergence checks. Preserve observed entries. Adequate models, appropriate support and the intended analysis structure matter; arbitrary conditional models need not be compatible with one joint distribution. Standard applications assume <missing at random> given included predictors. Use <Rubin's rules> to pool estimates and uncertainty.
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