6 citations · 22 across the 21 of their papers we have counts for
4 papers · 1 filter
Per-event Uncertainty Quantification for Flow Cytometry using Calibration Beads
Prajakta Bedekar, Megan A. Catterton, Matthew DiSalvo +3
Flow cytometry measurements are widely used in diagnostics and medical decision making. Incomplete understanding of sources of measurement uncertainty can make it difficult to dist…
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…
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…
Improving Baseline Subtraction for Increased Sensitivity of Quantitative PCR Measurements
Paul N. Patrone, Anthony J. Kearsley, Erica L. Romsos +1
Motivated by the current COVID-19 health-crisis, we examine the task of baseline subtraction for quantitative polymerase chain-reaction (qPCR) measurements. In particular, we prese…