Sentence examples for multivariate normal imputation from inspiring English sources

The missing data were imputed using multivariate normal imputation (MVNI), which assumes that all variables in the imputation model jointly follow a multivariate normal distribution [ 13].

Missing data were imputed using a multivariate normal imputation model after suitable transformations, to ensure that the variables were normally distributed.

Missing data will be imputed using a multivariate normal imputation model after suitable transformations to ensure that the variables are normally distributed.

Analyses of 20 imputed complete datasets, generated by using multivariate normal imputation, 33 provided results that indicated essentially the same conclusions as the complete case analyses reported here.

Imputation was carried out with both multivariate normal imputation (MVNI) and the more flexible fully conditioned specification (FCS).

For the adjusted analyses of venous thromboembolism rate by admission, we replaced missing values for BMI using multivariate normal imputation.

Multiple missing imputation procedures in Stata 12.0, using the multivariate normal approach with 10 imputation procedures, were employed for these variables before the main analyses were conducted [ 47].

Multiple imputation assumed an underlying multivariate normal model, composed of 20 imputed data sets, and included all study covariates and outcomes as model covariates.

To compensate for the missing values in the logistic regression models, multiple imputation was employed using multivariate normal regression, based on age, sex, and smoking data; multiple imputation results in less biased findings when dealing with missing covariate data [ 13].

Peugh and Enders (2004) demonstrated the use of multiple imputation using the multivariate normal model in the context of the Longitudinal Study of American Youth.

The second form of MI was identical to the first except that PMM was used to impute dietary vitamin C. The third form of MI was JAV, i.e. imputation under a multivariate normal distribution.