Sentence examples for by applying multiple imputation from inspiring English sources

We show that these gaps can be filled by applying multiple imputation methods to a formal risk equation that incorporates lifetime exposure.

The database contains several other factors in which missing data were frequently encountered, and a more definitive analysis (Clark et al, 2001) was able to incorporate these factors, while retaining all patients by applying multiple imputation methods (Van Buuren et al, 1999).

The present work provides a methodology to address this type of limitation by applying multiple imputation methods to extract the maximum information from available data, making it possible to use incompletely known residential data to put credible bounds on exposure metrics.

For this group of participants who did not complete the detailed shift work section we are able to derive type and duration from the occupational history section (i.e. for each job participants indicated if they had worked certain shifts) and by applying multiple imputation based on those participants who completed the detailed section.

Five different data sets were created by applying multiple imputation using correlated variables such as baseline body weight, available body weight data from later follow-up measurements at 12 (self-reported), 18 (self-reported) and 24 months (measured or self-reported), age, sex and educational level in the imputation model [ 34].

This assumption is more conservative than applying multiple imputations, since multiple imputations might overestimate intervention effects [ 51].

To adjust for missing values at age 19 and age 28 we applied multiple imputation [ 20] by using MICE (Multivariate Imputation by Chained Equations).

We applied multiple imputation using chained equations to preoperative and postoperative data to impute missing responses.

It is hoped that the ideas presented in this paper can be further explored and developed so that, by addressing this practical dilemma, more medical researchers will be able to apply multiple imputation when data suffers from missingness.

To correct for this selective dropout we applied multiple imputation.

First, we did not apply multiple imputation methods for the missing data.