In this paper, an analytical method and a bootstrap method are developed to evaluate the effect of classification errors on the bias and variance of estimated domain growth rates. The approaches are ...

Mislabeled metadata are especially problematic in large-scale collaborations where data analysis is far removed from data generation: researchers cannot reconfirm sample labels or resequence ...

Manual classification of production errors and the allocation of speech/spelling scores are time-consuming, laborious and error-prone tasks, even when conducted by clinicians and specialized ...

With the increasingly central role of imaging in medical diagnosis, understanding and monitoring radiological errors has become essential. In the field of oncology ...