Sentence examples for method with imputed from inspiring English sources

Similar results (an advantage of a Bayesian approach over GBLUP for yield traits only) were obtained using the nonlinear iterative A method with imputed high-density data from 15 842 reference animals and 28 traits [ 40].

As a sensitivity analysis, we additionally employed multiple-imputation methods with ten imputed data sets (mi impute chained in Stata) to retain all subjects in the study even if they were missing one of the variables specified in the model (N = 271) (Stata Statistical Software. Release 13. StataCorp LP, College Station, TX, USA).

Missing data was handled using multiple imputation with imputed data generated using a sequential regression imputation method via the software package IVEware [ 31].

all the investigated methods can boost signals with imputed genotypes, and the power of association improves under medium and high levels of LD, with the magnitude of power increase depending on the strength of LD; 2) the power increases with increasing MAF of untyped causal SNPs under medium LD level; 3).

The effect of market disinfection and closure on H7N9 virus isolation rates was similarly tested, after accounting for missing data from H7N9 virus rRT-PCR positive samples not available forRT-PCR positiveing multiple imputation methodsamples50 imputed datasets.

We show that augmenting sequence data with imputed samples is a practical method for increasing the power of rare-variant studies.

Sensitivity analysis with imputed data.

Analyses of change in weight, waist circumference, and other continuous efficacy measures were conducted in a modified ITT sample with the LOCF method to impute missing values.

We examine sensitivity of the NCOCS results to prior choice and method for imputing missing data.

For models with missing covariates, we tested three different methods (missing indicator, imputed with median, and assuming no change from before to after MI periods) with similar results, and therefore we present only the results using the missing indicator method.

The robustness of the results will be investigated performing sensitivity analyses with different methods of imputing missing values.