Sentence examples for misclassification of negative from inspiring English sources
If an economic factor such as the payment of compensation for finding disease has to be taken into account then the consequences resulting from misclassification of negative holdings, i.e., the specificity, would be an issue to consider.
A valid and lower cut-off point for PHA is required to overcome the misclassification of true negatives as indeterminate for QFT-G, when it is applied for active TB diagnosis in a clinically suspected population.
For example, a false positive enzyme immunoassay result for rotavirus could lead to misclassification of a test negative control as a case.
While the simulation model presented here was calibrated using a particular set of epidemiologic estimates (which were considered subject to false negative misclassification of diagnosis), it is also of some interest that the model output includes the actual lifetime prevalence.
The relatively low impact of influenza-like illness/upper respiratory tract infection on Guillain-Barré syndrome in the UK could also be the consequence of non-differential false negative misclassification of infections: patients were advised not to visit their general practitioner for influenza-like illness.
However, false-negative misclassification of cases could be an issue because we only had access to data about mortality during hospitalization.
Accuracy was also calculated by means of negative predictive values, overall misclassification rate, positive likelihood ratio tests (coefficient between sensitivity and 1-specificity) and negative likelihood ratio tests (coefficient between 1-sensitivity and specificity).
By restricting our analysis to ILI patients swabbed less than eight days after the onset of symptoms, we tried to minimise the possibility of misclassification because of false-negative RT-PCR results that could contribute to an underestimation of influenza VE.
In particular, "costs" should be ascribed to the misclassification of true-positive and true-negative patients that account for the different clinical consequences of such misdiagnoses.
The results confirmed this choice; there were no misclassifications of positive or negative results on OIC compared to the gold standard.
Differences in sensitivity and specificity between PCR-based anon-PCR-basedsed tests could introduce bias as misclassification of subjects as HPV positive or negative will tend to attenuate a true association between a risk factor and HPV status.
