Sentence examples for means of imputation from inspiring English sources

We filled in the missing data points by means of imputation by chained equation using STATA, release 9. 15 This method imputes missing values using an iterative multivariable regression technique.

The sequencing efforts, such as the 1000 Genomes project [ 10], are also being used to subsequently extend the coverage of the existing GWA datasets by means of imputation methods and population-specific reference haplotypes [ 87, 88].

Average imputation accuracies were split into categories of the closest recent ancestor genotyped and calculated over 10 replications; mean of imputation accuracy calculated as the correlation between true genotypes and imputed genotype dosages, both uncorrected for the mean gene content; standard deviation.

In order to determine the impact of the missing values within the PreVILIG database on the performance and accuracy of the prediction models, missing data were imputed by means of multiple imputation using "Multivariate Imputation by Chained Equations" (MICE) [ 24].

Maximally six missing values on each questionnaire were allowed, and these values were imputed by means of single imputation using expectation maximization techniques [ 28].

The few missing values in predictors were imputed by means of single imputation (SI, in R language: aregImpute, n.impute = 1, type = ' pmm').

With the exception of items of the health economic questionnaire, missing values were imputed by means of multiple imputation by chained equations using the program ice [ 51] in STATA Release 12 [ 52].

We assume the data to be missing at random (MAR), therefore observed patient characteristics will be used to impute missing data, by means of multiple imputation [ 24].

In the imputation process, pooled estimates were derived from 100 datasets created by means of multivariate imputation by chained equations and predictive mean matching for the same covariates as in the adjusted per-protocol analysis.

Mean accuracy of imputation per individual was higher than mean accuracy per SNP.

Robustness to missing data is tackled by means of simple imputation (data replacement) schemes, such as exponential forecasts and spatial interpolation.