Administrative mass data linking minimal/zero false positives

False positives in cancer epidemiology.

BACKGROUND A recent attempt to estimate the false-positive rate for cancer epidemiology studies is based on agents in International Agency for Research on Cancer (IARC) category 3 (agent not classifiable as to its carcinogenicity to humans) in the IARC Monographs Program. METHODS The estimation method is critiqued regarding biases caused by its reliance on the IARC classification criteria for...

False positives in neuroimaging genetics using voxel-based morphometry data

Voxel-wise statistical inference is commonly used to identify significant experimental effects or group differences in both functional and structural studies of the living brain. Tests based on the size of spatially extended clusters of contiguous suprathreshold voxels are also widely used due to their typically increased statistical power. In "imaging genetics", such tests are used to identify...

Improbability Filtering for Rejecting False Positives

In this paper we describe a novel approach, called improbability filtering, to rejecting false-positive observations from degrading the tracking performance of an Extended Kalman-Bucy fdter. False-positives, incorrect observations reported with a high confidence, are a form of non-Gaussian white noise and therefore degrade the tracking performance of an Extended Kalman-Bucy Filter. Improbabilit...

Minimizing false positives in differential display.

CORP: Minimizing the chances of false positives and false negatives.

Statistics is essential to the process of scientific discovery. An inescapable tenet of statistics, however, is the notion of uncertainty which has reared its head within the arena of reproducibility of research. The Journal of Applied Physiology's recent initiative, "Cores of Reproducibility in Physiology," is designed to improve the reproducibility of research: each article is designed to elu...