Zobrazeno 1 - 10
of 2 557
pro vyhledávání: '"Tarpey"'
This paper develops a novel Bayesian approach for nonlinear regression with symmetric matrix predictors, often used to encode connectivity of different nodes. Unlike methods that vectorize matrices as predictors that result in a large number of model
Externí odkaz:
http://arxiv.org/abs/2407.13865
Autor:
Yao, Lanqiu, Tarpey, Thaddeus
A core component of precision medicine research involves optimizing individualized treatment rules (ITRs) based on patient characteristics. Many studies used to estimate ITRs are longitudinal in nature, collecting outcomes over time. Yet, to date, me
Externí odkaz:
http://arxiv.org/abs/2405.09810
Autor:
Yao, Lanqiu, Tarpey, Thaddeus
The ability to order outcomes is necessary to make comparisons which is complicated when there is no natural ordering on the space of outcomes, as in the case of functional outcomes. This paper examines methods for extracting a scalar summary from fu
Externí odkaz:
http://arxiv.org/abs/2402.01827
This paper presents a Bayesian regression model relating scalar outcomes to brain functional connectivity represented as symmetric positive definite (SPD) matrices. Unlike many proposals that simply vectorize the matrix-valued connectivity predictors
Externí odkaz:
http://arxiv.org/abs/2401.16749
Autor:
Michelle Bishop, Aditi Vedi, Sarah Bowdin, Ruth Armstrong, Jack Bartram, David Bentley, Mark Ross, C. Elizabeth Hook, Brian Hon Yin Chung, Parker Moss, David H. Rowitch, Patrick Tarpey, Sam Behjati, Matthew J. Murray
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background The clinical utility of whole genome sequencing (WGS) in paediatric cancer has been demonstrated in recent years. WGS has been routinely available in the National Health Service (NHS) England for all children with cancer in Englan
Externí odkaz:
https://doaj.org/article/b596a2e9f4594a5cbc378334e4100a46
This paper introduces $K$-Tensors, a novel self-consistent clustering algorithm designed to cluster positive semi-definite (PSD) matrices by their eigenstructures. Clustering PSD matrices is crucial across various fields, including computer and biome
Externí odkaz:
http://arxiv.org/abs/2306.06534
Publikováno v:
Journal of Service Theory and Practice, 2024, Vol. 34, Issue 4, pp. 621-635.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JSTP-02-2023-0031
Autor:
Hyung Park, Chang Yu, Liise-anne Pirofski, Hyunah Yoon, Danni Wu, Yi Li, Thaddeus Tarpey, Eva Petkova, Elliott M. Antman, Andrea B. Troxel, the COMPILE Consortium
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background There is a need to understand the relationship between COVID-19 Convalescent Plasma (CCP) anti-SARS-CoV-2 IgG levels and clinical outcomes to optimize CCP use. This study aims to evaluate the relationship between recipient baselin
Externí odkaz:
https://doaj.org/article/85a51dc3cb484427b569be546cc650ec