Sentence examples for chained equations imputation from inspiring English sources

Missing clinical outcome data and resource use (due to non-consent for the release of Medicare and PBS data or failure to complete the health utilization questionnaire at 6 or 12 months) were managed using a multiple imputation method via chained equations imputation generating 5 imputed datasets [ 4, 24].

Chained equations imputation is widely used in medical research.

The issue of variance estimation for chained equations imputation is beyond the scope of this paper.

Using our notation for chained equations imputation (see under the subsection "Chained equations imputation" of the Methods section) ψ j = (α j, β j, ω j ) and ψ j ~ = (μ ~ j, Σ ~ j ).

Given that chained equations imputation is a widely used approach to imputation, these results are somewhat reassuring.

The advantage of chained equations imputation is that we do not need to specify the joint distribution of the variables.

The chained equations allow imputation of both categorical and continuous variables, while predicted mean matching restrict imputations to the appropriate range (by matching the predicted value to the closest value in the dataset).

Missing data were handled using the chained equations multiple imputation command ice in Stata.

Chained equations multiple imputation was used to account for missing data.

For intention to treat analyses, we used multiple imputation by chained equations to impute missing values.

Multiple imputation was used to handle missing data, using chained equations with 20 imputation sets, see appendix for details [ 16, 17].