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08/30/2023
Minimal Assumptions for Optimal Serology Classification: Theory and Implications for Multidimensional Settings and Impure Training Data
Minimizing error in prevalence estimates and diagnostic classifiers rema...
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10/05/2022
Optimal classification and generalized prevalence estimates for diagnostic settings with more than two classes
An accurate multiclass classification strategy is crucial to interpretin...
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08/03/2022
Prevalence Estimation and Optimal Classification Methods to Account for Time Dependence in Antibody Levels
Serology testing can identify past infection by quantifying the immune r...
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06/28/2022
Modeling in higher dimensions to improve diagnostic testing accuracy: theory and examples for multiplex saliva-based SARS-CoV-2 antibody assays
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemi...
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01/31/2022
Optimal Decision Theory for Diagnostic Testing: Minimizing Indeterminate Classes with Applications to Saliva-Based SARS-CoV-2 Antibody Assays
In diagnostic testing, establishing an indeterminate class is an effecti...
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12/18/2020
Classification Under Uncertainty: Data Analysis for Diagnostic Antibody Testing
Formulating accurate and robust classification strategies is a key chall...
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12/05/2017
