Daniel Jacob Underwood

Works (3)

Updated: July 5th, 2023 15:45

2017 journal article

Two-stage biomarker protocols for improving the precision of early detection of prostate cancer

Medical Decision Making, 37(7), 815–826.

By: C. Barnett, S. Tomlins, D. Underwood, J. Wei, T. Morgan, J. Montie, B. Denton

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

Note on "Simulation optimization of PSA-threshold based prostate cancer screening policies"

Health Care Management Science, 16(4), 377–378.

By: D. Underwood, J. Zhang, B. Denton, N. Shah & B. Inman

Source: NC State University Libraries
Added: August 6, 2018

2012 article

Simulation optimization of PSA-threshold based prostate cancer screening policies

Underwood, D. J., Zhang, J., Denton, B. T., Shah, N. D., & Inman, B. A. (2012, February 3). Health Care Management Science.

By: D. Underwood n, J. Zhang *, B. Denton n, N. Shah* & B. Inman *

author keywords: Prostate cancer screening; Simulation optimization; Genetic algorithm; Ranking and selection
MeSH headings : Age Factors; Algorithms; Computer Simulation; Early Detection of Cancer / methods; Early Detection of Cancer / statistics & numerical data; False Positive Reactions; Health Policy; Humans; Male; Practice Guidelines as Topic; Prostate-Specific Antigen / blood; Prostatic Neoplasms / diagnosis; Quality-Adjusted Life Years
topics (OpenAlex): Prostate Cancer Diagnosis and Treatment; Statistical Methods in Clinical Trials; Health Systems, Economic Evaluations, Quality of Life
TL;DR: A simulation optimization method is described that integrates a simulation model in a genetic algorithm which uses a probabilistic method for selection of the best policy to design PSA screening policies based on expected quality adjusted life years. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

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