Sentence examples for multiple imputations are from inspiring English sources

Multiple imputations are repeated random draws from the predictive distribution of the missing values.

More precisely, multiple imputations are drawn from a posterior predictive distribution of the missing data conditional on the observed data.

First, multiple imputations are drawn from a proposal distribution where the true states are replaced with particle representation which is calculated regardless of the missing observations.

Multiple imputations are needed to properly account for the uncertainty in the imputation process and the resulting set of imputed estimates can be combined using standard multiple imputation combining rules.

The Results of multiple imputations are summarized in Table  3.

In this setting, multiple imputations are expected primarily to recover information by including the partially observed records in the analysis, which is what we found.

Multiple imputations were used for models where imputed cholesterol was used in creating the weights.

15 Multiple imputations were used to create 20 imputed datasets to address missing covariate data points.

If ≥10 % of data were missing, multiple imputations were performed, assuming they were missing at random [36].

The main advantage of using multiple imputations is that it naturally gives a prediction range for each missing value.

Multiple imputations were reconciled by creating historical variables.