Sentence examples for misclassification and thus from inspiring English sources

Exact(11)

Finally, the use of self-reported height and weight might have resulted in nondifferential misclassification and thus underestimation of the true effects.

This method provides the information, if a specific risk haplotype can be expected to be reconstructed with rather no or high misclassification and thus on the magnitude of expected bias in association estimates.

However, this is more likely to generate non-differential misclassification and, thus, attenuate the evaluated association.

Furthermore, prospective designs are more likely to generate non-differential misclassification and thus attenuate the evaluated association.

Although residential radiation exposure introduces more non-differential misclassification and thus weakens possible associations, those data were our most complete available exposure data set.

Furthermore, this within-person error in reporting meat consumption is likely to be non-differential misclassification and thus may have diluted rather than identified a relationship.

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Similar(49)

We also illustrate that sensitivity and specificity separate two dimensions of the haplotype reconstruction error, which completely describe the misclassification matrix and thus provide the prerequisite for methods accounting for misclassification.

However, the use of claims is subject to misclassification bias and thus may include some patients without metastatic colon cancer and exclude some patients with metastatic colon cancer.

While, the material deprivation index has face validity for Calgary, the potential for misclassification of SES and thus misclassification bias cannot be eliminated.

This study shows that especially the value of dengue virus IgM detection on t0 and t3 with filter papers may lead to diagnostic misclassification and is thus of limited value for clinical confirmation.

None the less, non-adherence to the dispensed antidepressants may have yielded misclassification of exposure and thus biased the relative estimates towards the null.

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