1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Analysis of Diagnostics (Part II): Prevalence, Linear Independence, and Unsupervised Learning
Paul N. Patrone, Raquel A. Binder, Catherine S. Forconi +2
This is the second manuscript in a two-part series that uses diagnostic testing to understand the connection between prevalence (i.e. number of elements in a class), uncertainty qu…
Prevalence estimation methods for time-dependent antibody kinetics of infected and vaccinated individuals: a graph-theoretic approach
Prajakta Bedekar, Rayanne A. Luke, Anthony J. Kearsley
Immune events such as infection, vaccination, and a combination of the two result in distinct time-dependent antibody responses in affected individuals. These responses and event p…
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…