A stochastic approach to risk management for prostate cancer patients on active surveillance

DOI10.1016/j.jtbi.2011.06.013zbMath1397.92354OpenAlexW2097257252WikidataQ39204873 ScholiaQ39204873MaRDI QIDQ1786034

Amiram Gafni, Eliezer Z. Prisman, Antonio Finelli

Publication date: 24 September 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2011.06.013

zbMATH Keywords

stochastic processprostate canceractive surveillance

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Applications of stochastic analysis (to PDEs, etc.) (60H30)

Uses Software

• Maple
• Matlab

Cites Work

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• Random-Effects Models for Longitudinal Data
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• Memory and infrequent breaks
• Development of a mathematical model that predicts the outcome of hormone therapy for prostate cancer
• Prostate cancer: Progression of prostate-specific antigen after external beam irradiation
• A stochastic model for prostate-specific antigen levels
• A stochastic model for PSA levels: behavior of solutions and population statistics
• An alternative approach to modelling relapse in cancer with an application to adenocarcinoma of the prostate
• Cancer self remission and tumor stability -- a stochastic approach
• Models for the Growth of a Solid Tumor by Diffusion
• Stochastic differential equations. An introduction with applications.

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