research
∙
06/05/2022
Information Threshold, Bayesian Inference and Decision-Making
We define the information threshold as the point of maximum curvature in...
share
research
∙
12/25/2021
Prevalence Threshold and bounds in the Accuracy of Binary Classification Systems
The accuracy of binary classification systems is defined as the proporti...
research
∙
04/15/2021
The SIR-P Model: An Illustration of the Screening Paradox
In previous work by this author, the screening paradox - the loss of pre...
research
∙
12/13/2020
Invariant Points on the Screening Plane: a Geometric Definition of the Likelihood Ratio (LR+)
From the fundamental theorem of screening we obtain the following mathem...
research
∙
11/11/2020
On the Formalism of The Screening Paradox
Bayes' Theorem imposes inevitable limitations on the accuracy of screeni...
research
∙
07/26/2020
Derivation of Generalized Equations for the Predictive Value of Sequential Screening Tests
Using Bayes' Theorem, we derive generalized equations to determine the p...
research
∙
06/20/2020
Bayesian Updating and Sequential Testing: Overcoming Inferential Limitations of Screening Tests
Bayes' Theorem confers inherent limitations on the accuracy of screening...
research
∙
05/31/2020
Prevalence Threshold and the Geometry of Screening Curves
The relationship between a screening tests' positive predictive value, ρ...
research
∙
06/26/2017