Sentence examples for degree of imputation from inspiring English sources

However, in the this study the contributing datasets were different in terms of patient origin (Australasia and USA), primary detection or secondary monitoring of UC and the degree of imputation of the various tests – FISH was most imputed and affected, and in contrast, Cxbladder Detect and cytology were least imputed and least affected by imputation.

Biological conditions at the earliest time points post-infection showed the highest degree of imputation, while the biological conditions at the latest time points post-infection showed the lowest degree of imputation.

A major advantage of setting a numerical value of PDI as a limit is that it insures that all study subjects have their degree of imputation constrained.

To this end, we introduce the "percentage of dose imputed" (PDI) as a continuous index that allows limiting analysis to groups of study subjects depending on their degree of imputation.

Our most strongly associated risk variants were not genotyped by the TCGA genotyping platform (Affymetrix 6.0) and it was not possible to impute these SNPs with a satisfactory degree of accuracy (imputation information scores of 0.41, 0.35 and 0.45 for rs7705526, rs13174814 and rs62329728, respectively) based on this genotyping.

Use of PMM and LRD is typically motivated by the notion that they provide a degree of robustness when the imputation model is misspecified, for example if the normality assumption is in question, residuals are heteroscedastic, or associations are non linear.

We show that when there is a moderate degree of association with variables that are missing and other non-missing variables, then the lack of imputation may lead to various degrees of item non-response bias.

Moreover, because the finite sample bias of 2SLS is not monotonically decreasing in the degree of measurement accuracy, the most accurate imputation method is not necessarily the method that minimizes the bias of 2SLS.

Other factors that affect the accuracy of imputation include levels of linkage disequilibrium (LD) in the population, the degree of similarity between the reference population and the test population and, to some extent, the size of the reference population [ 7- 10].

The degree of kinship between animals in test and reference set has a significant effect on the accuracy of imputation and as such can be strategically optimised in selecting animals to be genotyped if pedigree information is available.

As imputation accuracy depends (amongst others) on the degree of relationship between sequenced individuals and individuals to be imputed, we also checked how imputing accuracy changes when different numbers of generations are between sequenced individuals and individuals to be imputed.