Sentence examples for misclassification of breast from inspiring English sources

The results from probabilistic sensitivity analyses correcting for possible non-differential and differential misclassification of breast cancer recurrence are presented in Table 3.

Although misclassification of breast cancer might occur, such a probability was low because labeled diagnoses should be printed out in all prescriptions handed to the patients.

Potential misclassification of breast development due to adiposity was minimized in this study as palpation and visual inspection were both utilized to assess onset of breast development.

The time interval from diagnosis until death from breast cancer varies from a few months to many years, and therefore we carefully separated breast cancers diagnosed in women before invitation to first screening from those diagnosed after invitation to first screening to avoid misclassification of breast cancer deaths according to exposure status (invited or not invited before diagnosis).

Probabilistic sensitivity analyses were undertaken to estimate the potential impact of misclassification of breast cancer recurrence on the primary analysis using the SAS macro SENSMAC available at https://sites.google.com/site/biasanalysis/sensmac (Lash and Fink, 2003; Fox et al, 2005; Lash et al, 2009).

Misclassification of breast cancer diagnoses is most likely negligible, as reporting of cancer to the Cancer Registry of Norway is mandatory by law, and the breast cancer diagnoses were based on pathology reports for 99.9% of the women for whom a breast cancer diagnosis was reported.

We performed partial sensitivity analyses to adjust a breast cancer OR estimate for misclassification of family breast cancer history.

The purpose of this teaching paper is to describe the process of using validation data and expert judgment to adjust a breast cancer odds ratio for misclassification of family breast cancer history.

However, because our physical activity assessment preceded the diagnosis of breast cancer, potential misclassification of physical activity would have tended to be non-differential with respect to disease status, which would have resulted in an attenuation of the true association.

Additionally, self-report of breast cancer diagnosis might introduce a misclassification bias not present in the LIDPBC sample.

Limitations of this analysis include the use of a single assessment of diet, on average 6 years before diagnosis of breast cancer, which may have led to misclassification of dietary intake.