Sentence examples for misclassification by the from inspiring English sources

This can be achieved by a subset of SAs skilled in filtering right the mutagens that are potentially subject to misclassification by the SVM model.

The survey by Kudrow and Kudrow either under- or overestimated the risk of cluster headache, depending on the balance between underestimation and misclassification by the probands [13].

The prevalence of migraine was similar based on a questionnaire and a direct physician conducted interview, but it was due to equal positive and negative misclassification by the questionnaire [15].

These distributions results in substantial variation in the level of misclassification by the BED test, if the PFP increases with time since infection (scenario B in Figure 1).

In this investigation, incidence estimates based on cross-sectional data were affected by misclassification by the BED and Ax-AI assays.

Hence, the estimates of both test accuracy and prevalence are strongly biased due to disease misclassification by the imperfect gold standard.

Finally, a sensitivity analysis was performed to examine the extent of misclassification by using the median acrylamide concentrations to rank food items and calculate total dietary acrylamide dose.

We have attempted to limit exposure misclassification by validating the exposure model for the current period as well as controlling for changes over time using exposure data from Zaebst et al. (1991).

When we reduced exposure misclassification by analyzing the smaller sample of nonmovers, the association between ASD and PM2.5 was stronger.

Because exposure assignment for this study is based on residential address, we endeavored to minimize misclassification by restricting the cohort to people with regular billings from the same postal code (thereby maximizing our confidence that the correctness of the postal code had been confirmed by recent contact with the health care system).

A more detailed investigation of sources for misclassification by regarding the group-specific rates of accuracy particularly points to the SR fund investors, predominantly being predicted as INT investors due to a considerably lower a priori probability (14.3 % compared to 39.7 %).