Sentence examples for using the multivariate imputation from inspiring English sources

Missing data were multiple times imputed, using the 'Multivariate Imputation by Chained Equations' (MICE) procedure [ 13, 14], that runs under the statistical program R version 2.5.0 [ 15].

Alternatively, depending on the missing data pattern, Multiple Imputation (MI) using the Multivariate Imputation by Chained Equations (MICE) is used to impute missing effect and cost data [ 51- 54].

This approach involves switching regression, using the multivariate imputation by chained equations function in Stata.

To reduce possible bias and account for uncertainty, our analyses used the Multivariate Imputation by Chained Equations method of multiple imputation with five replications of imputed data based on when recurrence occurred between diagnosis and breast cancer death for other patients (Van Buuren et al, 1999; Royston, 2004).

24 For missing data on follow-up we used the multivariate imputation by chained equations to complete missing data on costs.

We used the Multivariate Imputation by Chained Equations method [ 47] with m = 5 multiple imputations, and with logistic regression and predictive mean matching imputation models respectively for binary and continuous variables.

In this paper for all of the descriptive statistics (tables 1 2) only those with complete data are in included, of inferential analyses (tables 3 5) the results are those obtained using the multivariate multiple imputation methods.

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 missing imputation procedures in Stata 12.0 [ 43], using the multivariate chained approach with ten imputation procedures, were employed before the main analyses were conducted.

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.

We employed multiple imputations to handle missing data using the multivariate normal model procedure in Stata 12, with 20 cycles of imputation.