Sentence examples for multiple imputation are from inspiring English sources

(Methods used for multiple imputation are described in online-only Data Supplement Methods III).

Further details of the basics of multiple imputation are available from Schafer [ 15].

Results obtained after imputation were similar to those found when analysing the complete records only; therefore results obtained from multiple imputation are reported.

Both weighting and multiple imputation are options for including the outcomes of patients who do not respond, based on the outcomes of patients for whom complete data are available [ 26, 27].

152 318 320 321 Methods of multiple imputation are more complex but are widely preferred to single imputation methods (eg, last observation carried forward; baseline observation carried forward), as the latter introduce greater bias and produce confidence intervals that are too narrow.

Statistical techniques to account for missing data, such as full information maximum likelihood and most current forms of multiple imputation, are less efficient when missingness is dependent on variables with missing data than when it is only dependent on variables with information from all participants [ 20].

Multiple imputation was used to impute missing information.

Multiple imputation was used to impute missing values of the outcomes, mediators and confounders [ 22, 23].

For the economic evaluation multiple imputation is used to impute missing data.

Multiple imputation was implemented with m imputed datasets under the MAR assumption.

Multiple imputation was conducted using chained equations which created 20 imputed datasets.