Sentence examples for multiple chained equations from inspiring English sources

Given the availability of information on sociodemographic variables, we assumed that missingness is dependent on observed data and used multiple chained equations using all study variables and sociodemographic indicators to impute 30 data sets.

41 Five imputed data sets will be created, using multiple chained equations, and Rubin's rules will be used to combine effect estimates and SEs to allow for uncertainty due to imputing missing values.

In order to decrease bias and increase analytical power, we used multiple chained equations (using the mi package in Stata 12) to impute missing values 43 separately by gender.

This was less than our target of 466, hence in order to ensure that we minimised our chance of a type II error we carried out a sensitivity analysis by imputing the incomplete data using multiple chain equations in STATA using all available baseline data in order to base the analyses on all 522 individuals.

These imputations were incorporated into the system of multiple imputation chained equations to reflect uncertainty.

We used multiple imputation chained equations to impute those missing values rather than perform complete case analyses in order to decrease bias and increase the power of the analyses [ 22].

We used multiple imputation chained equations to impute those missing values rather than perform complete case analyses in order to decrease bias and increase the power of the analyses [ 25].

In order to decrease bias and increase power of the analyses [ 13], we used multiple imputation chained equations (procedure 'ICE' in STATA) to impute those missing values (1.7% of all required values) rather than performing complete case analyses [ 14, 15].

PTSD: Post-traumatic stress disorder; SCL-90-R: Symptom Checklist-90-Revised; IES: Impact of Event Scale; MICE: Multiple Imputations by Chained Equations; MI: Multiple Imputation.

Firstly, the analysis was performed after multiple imputation of missing data using multiple imputation chained equation methods.

Abbreviations: MI- multiple imputation, MICE- multiple imputation by chained equations, MVNI- multivariate normal imputation, PMM- predictive mean matching, MCMC- Markov chain Monte Carlo, CC- complete case, LOCF- last observation carried forward.