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pro vyhledávání: '"Patrone, Paul N."'
Autor:
Patrone, Paul N., Binder, Raquel A., Forconi, Catherine S., Moormann, Ann M., Kearsley, Anthony J.
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 quantification (UQ), and classification theory. Part I considered the co
Externí odkaz:
http://arxiv.org/abs/2408.16035
Autor:
Patrone, Paul N., Binder, Raquel A., Forconi, Catherine S., Moormann, Ann M., Kearsley, Anthony J.
Diagnostic testing provides a unique setting for studying and developing tools in classification theory. In such contexts, the concept of prevalence, i.e. the number of individuals with a given condition, is fundamental, both as an inherent quantity
Externí odkaz:
http://arxiv.org/abs/2309.00645
An accurate multiclass classification strategy is crucial to interpreting antibody tests. However, traditional methods based on confidence intervals or receiver operating characteristics lack clear extensions to settings with more than two classes. W
Externí odkaz:
http://arxiv.org/abs/2210.02366
Serology testing can identify past infection by quantifying the immune response of an infected individual providing important public health guidance. Individual immune responses are time-dependent, which is reflected in antibody measurements. Moreove
Externí odkaz:
http://arxiv.org/abs/2208.02127
Autor:
Luke, Rayanne A., Kearsley, Anthony J., Pisanic, Nora, Manabe, Yukari C., Thomas, David L., Heaney, Christopher D., Patrone, Paul N.
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has emphasized the importance and challenges of correctly interpreting antibody test results. Identification of positive and negative samples requires a classification strategy
Externí odkaz:
http://arxiv.org/abs/2206.14316
Autor:
Patrone, Paul N., DiSalvo, Matthew, Kearsley, Anthony J., McFadden, Geoffrey B., Cooksey, Gregory A.
Signals analysis for cytometry remains a challenging task that has a significant impact on uncertainty. Conventional cytometers assume that individual measurements are well characterized by simple properties such as the signal area, width, and height
Externí odkaz:
http://arxiv.org/abs/2206.02003
Autor:
Patrone, Paul N., Bedekar, Prajakta, Pisanic, Nora, Manabe, Yukari C., Thomas, David L., Heaney, Christopher D., Kearsley, Anthony J.
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 less efficient and must be balanced against overall assay performance.
Externí odkaz:
http://arxiv.org/abs/2202.00494
Autor:
Patrone, Paul N., Kearsley, Anthony J.
Formulating accurate and robust classification strategies is a key challenge of developing diagnostic and antibody tests. Methods that do not explicitly account for disease prevalence and uncertainty therein can lead to significant classification err
Externí odkaz:
http://arxiv.org/abs/2012.10021
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 present an algorithm that leverages information obtained from non-template
Externí odkaz:
http://arxiv.org/abs/2004.05466
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