4 citations · 15 across the 10 of their papers we have counts for
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Optimal classification and generalized prevalence estimates for diagnostic settings with more than two classes
Rayanne A. Luke, Anthony J. Kearsley, Paul N. Patrone
An accurate multiclass classification strategy is crucial to interpreting antibody tests. However, traditional methods based on confidence intervals or receiver operating character…
Prevalence Estimation and Optimal Classification Methods to Account for Time Dependence in Antibody Levels
Prajakta Bedekar, Anthony J. Kearsley, Paul N. Patrone
Serology testing can identify past infection by quantifying the immune response of an infected individual providing important public health guidance. Individual immune responses ar…
Reproducibility in Cytometry: Signals Analysis and its Connection to Uncertainty Quantification
Paul N. Patrone, Matthew DiSalvo, Anthony J. Kearsley +2
Signals analysis for cytometry remains a challenging task that has a significant impact on uncertainty. Conventional cytometers assume that individual measurements are well charact…
Modeling in higher dimensions to improve diagnostic testing accuracy: theory and examples for multiplex saliva-based SARS-CoV-2 antibody assays
Rayanne A. Luke, Anthony J. Kearsley, Nora Pisanic +4
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has emphasized the importance and challenges of correctly interpreting antibody test results. Identificati…
Minimizing Uncertainty in Prevalence Estimates
Paul Patrone, Anthony Kearsley
Estimating prevalence, the fraction of a population with a certain medical condition, is fundamental to epidemiology. Traditional methods rely on classification of test samples tak…
Optimal Decision Theory for Diagnostic Testing: Minimizing Indeterminate Classes with Applications to Saliva-Based SARS-CoV-2 Antibody Assays
Paul N. Patrone, Prajakta Bedekar, Nora Pisanic +4
In diagnostic testing, establishing an indeterminate class is an effective way to identify samples that cannot be accurately classified. However, such approaches also make testing…