Sentence examples for large proportion of values from inspiring English sources

The PIGF levels at week 12 were weakly correlated to baseline levels, but this may be due to the large proportion of values below the detection threshold at baseline.

However, it may be hypothesized that MIN loses more information than PBC because the latter considers a larger proportion of values in the reduced distance matrix.

The bias was therefore rarely associated with a single factor (e.g., a large proportion of missing values alone) but rather with combinations of (adverse) conditions (e.g., a large proportion of missing values and a high level of dependence of the pattern of missing data on true person proficiencies).

Data quality is improved by filtering out users with a large proportion of missing values.

Note that, for most compounds in the created dataset, there is a large proportion of missing values for the log Kt:p of most tissues (See Additional file 1).

Despite their promise, NGS technologies also suffer from remarkable limitations: high error rates, enrichment of rare variants, and a large proportion of missing values, as well as the fact that most current analytical methods are designed for population-based association studies.

Some adverse factors (and especially combinations of adverse factors, e.g., a large proportion of missing values and a high level of dependence of the missing data pattern on true person proficiency) led to biases in the range of −0.145 to 0.092 for the subpopulation differences and −0.041 to 0.061 for the regression coefficient β2.

We showed that a recently proposed machine-learning algorithm AODE is well suited to detect and rank functional protein associations being particularly valuable for scenarios characterized by a large proportion of missing values.

We did this because the GBS marker data contain a large proportion of missing values.

PROC LIFEREG was used for left-censored regression (tobit) modelling to obtain an accurate estimate of the mean exposure level accounting for the large proportion of undetectable values.

Generalizations from analysis of the race variable are problematic due to the large proportion of missing values, but at least 74% of male and 67% of female scan recipients were Caucasian.