Sentence examples for misclassification by excluding from inspiring English sources

We also attempted to reduce this misclassification by excluding patients who had an additional concurrent rheumatologic diagnosis.

We minimised misclassification by excluding people who had received only one prescription, since some people never fill prescriptions or take the drugs.

In sensitivity analyses, we examined the effect of misclassification of exposure by excluding initially unexposed patients prescribed a PPI or H2RA during follow-up.

In order to address potential outcome misclassification we conducted a sensitivity analysis by excluding controls with a serum PSA >10 ng/ml (n = 4), who might possibly have had an underlying PrCa.

To avoid potential misclassification of COPD, we repeated the analysis by excluding those with self-reported asthma diagnosis.

We examined potential misclassification from acute exacerbation of chronic obstructive pulmonary disease (COPD) by excluding patients with preexisting or concurrent COPD.

47 Potential misclassification of disease status through bronchodilators not being used was reduced by excluding participants with physician-diagnosed asthma.

We performed sensitivity analyses to minimize potential reverse causation due to the presence of potential unrecognized diabetes at baseline by excluding cases occurring during the first 2 years of follow-up, and to minimize potential misclassification due to exposure changes over time by restricting analyses to events within 10 years of toenail sampling.

By excluding non-emergency health care, we reduced the potential influence of control consultations and thereby limiting outcome misclassification.

By excluding 39 schools for which survey respondents reported livestock odor, but located beyond 5 miles of a swine CAFO, we intended to reduce misclassification of schools located near nonswine CAFOs.

We sought to minimize misclassification of disease status by requiring prescription medication use for hypercholesterolemia and hypertension as well as medical records validation for coronary artery disease (to increase disease classification specificity), and by excluding from the analysis people who had some indication of disease, but did not meet the case definitions.