Sentence examples for multiple imputation that from inspiring English sources

Third, despite the fact that these data were MNAR, we applied multiple imputation that is generally used for missing at random (MAR) data to replace missing values of SIBDQ and SF-12v2 scores and the WPAI UC Activity impairment domain (values for the other WPAI UC domains were not imputed because most 'missing' data for these domains were due to the lack of patients' employment).

We partly addressed this limit using multiple imputation that permits to correct the bias for missing at random information.

When the frequency of parenthood project achievement is being estimated, methods such as multiple imputation, that can adjusted for non-participation, should be used.

Such biases can be overcome using methods such as multiple imputation that allow individuals with incomplete data to be included in analyses.

Marshall et al.[ 26, 27] warned that using a multiple imputation that works well with less than 50% missing data introduces bias in a Cox regression when 75% of the data were missing.

Bias may arise but it can be minimized with appropriate methods, such as multiple imputation, that take into account available information explaining the missingness mechanism.

Conditional distributions of proficiency are utilized to generate plausible values (multiple imputations) that are a representation of our finite knowledge concerning an individual's value on the latent trait scale, given the individual's pattern of correct and incorrect responses, as well as information on her background characteristics.

The ITT cohort was preserved by imputing missing clinical endpoints using a multiple imputation procedure that minimizes bias from differential drop-outs and properly accounts for uncertainty in imputed values when performing statistical inference.

Thus, we kept the multiple imputation parameters that gave us the best correlation with our own masked data and further evaluated the effect of transforming measurements for just some of the 17 phosphoproteins.

We are aware of other imputation methods, such as the multiple imputation method, that overcome the non-random missing patterns.

We included missing covariate data in our analyses using multiple imputation techniques that generated five data sets with complete covariate values to increase the efficiency and robustness of the estimated hazard ratios.