Sentence examples for study the imputation of from inspiring English sources

In the present study, the imputation of the value of threshold level to undetectable viral loads led to a higher level of HCV RNA than the truth, particularly in the second part of the dynamics.

Only few studies report the imputation of unobserved values in capture-recapture applications.

Given the limited comparison of methods for handling limited-range variables to date, we undertook a systematic study into the imputation of such variables.

In a study on the imputation of categorical data [ 29] it was found that, while problems exist when imputing using a variant of NORM designed to deal with categorical data when many variables are present, the same limitations are not problematic for NORM.

A key step in the majority of GWA studies is the imputation of genotypes at SNPs not on the genotype chip used in the study.

Similar results were found by Zhang and Druet (2010); in their study, the imputation accuracy of DAGPHASE (Druet and Georges, 2010) increased when the number of reference individuals was increased,whereas with CHROMIBD (Druet and Farnir, 2011) almost no differences were observed.

A potential limitation of the current study lays in the imputation of missing baseline mental health item data.

On occasion, the end-of-study data are analysed without the imputation of data from patients who withdrew during the course of the study.

The correlation coefficient was calculated in the experimental and control groups from some studies and was used to calculate the imputation of standard deviation of change in symptom scores for other studies.

The variables univariately associated with non-recovery in this population (p < 0.10), extensively described in a previous study [ 7], were used for the imputation of non-recovery.

In this analysis, different variants of multiple imputation were studied, with respect to their feasibility and appropriateness for the imputation of missing values in tumour stages, limiting our analysis to one cancer entity with a high number of cases with missing tumour stage information and one cancer entity with only few missing tumour stage data.