Sentence examples for misclassification compared with from inspiring English sources

Therefore, the proportion of variance explained by SNPs may be underestimated in the presence of diagnostic misclassification compared with the variance explained by SNPs of the true disorder.

Our exposure model provided spatially and temporally resolved predictions over the course of follow-up, which likely limits exposure misclassification compared with a single annual estimate or predictions from a central monitoring location.

The current literature suggests that using ambient monitors as proxies for PM2.5, which is more homogeneously dispersed over large areas, would likely result in less misclassification compared with the other pollutants we examined (Oglesby et al. 2000; Sarnat et al. 2001).

Furthermore, as a probability-based method, LCCA has an advantage over distance-based cluster analysis, for example, probability of assignment to k latent clusters for each mother [ 20] and lower misclassifications compared with the k-means [ 29].

All trees showed an improvement with respect to misclassification compared to the Null model, i.e. a tree with only a root node.

Potential misclassification compared to the exposure used previously was also quantified, with poor agreement between a measured biomarker of current arsenic exposure and modelled estimates of arsenic uptake and excretion.

The experimental results obtained in this work shows that the system achieves improvement in terms of misclassification cost when compared with conventional IDS.

The use of external conversion factors may result in increased imprecision and exposure misclassification for the cohort compared with the use of internal conversion factors (National Research Council 1984).

Other settings with lower populations may have much larger areas aggregated together, resulting in greater variation in risk within aggregated evaluation unit and increased misclassification of underlying districts compared with a district-level design.

The meta-analysis data set represents a composite of several independent microarray studies, which minimizes the likelihood of sex-biased transcription misclassification for each gene (compared with classifications based on single studies).

The stronger association might also be due to less misclassification of nighttime exposure compared with daytime exposure, which is more likely to be affected by time spent at work or workplace exposure.