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pro vyhledávání: '"individualized treatment rules"'
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:
Li, Michael Lingzhi, Imai, Kosuke
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today'
Externí odkaz:
http://arxiv.org/abs/2404.17019
Publikováno v:
Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR 238:712-720, 2024
An individualized treatment rule (ITR) is a decision rule that recommends treatments for patients based on their individual feature variables. In many practices, the ideal ITR for the primary outcome is also expected to cause minimal harm to other se
Externí odkaz:
http://arxiv.org/abs/2402.08828
Publikováno v:
Ann. Appl. Stat. 17 (4) 3384 - 3402, 2023
Individualized treatment rules (ITRs) for treatment recommendation is an important topic for precision medicine as not all beneficial treatments work well for all individuals. Interpretability is a desirable property of ITRs, as it helps practitioner
Externí odkaz:
http://arxiv.org/abs/2311.01538
Autor:
Bouvier, Florie, Peyrot, Etienne, Balendran, Alan, Ségalas, Corentin, Roberts, Ian, Petit, François, Porcher, Raphaël
Identifying patients who benefit from a treatment is a key aspect of personalized medicine, which allows the development of individualized treatment rules (ITRs). Many machine learning methods have been proposed to create such rules. However, to what
Externí odkaz:
http://arxiv.org/abs/2308.03398
Akademický článek
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Autor:
Li Michael Lingzhi, Imai Kosuke
Publikováno v:
Journal of Causal Inference, Vol 12, Iss 1, Pp 1-51 (2024)
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today
Externí odkaz:
https://doaj.org/article/75dfd8983031468dbaa32e87762a573c
Akademický článek
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One primary goal of precision medicine is to estimate the individualized treatment rules (ITRs) that optimize patients' health outcomes based on individual characteristics. Health studies with multiple treatments are commonly seen in practice. Howeve
Externí odkaz:
http://arxiv.org/abs/2302.05287
Personalized medicine has gained much popularity recently as a way of providing better healthcare by tailoring treatments to suit individuals. Our research, motivated by the UK INTERVAL blood donation trial, focuses on estimating the optimal individu
Externí odkaz:
http://arxiv.org/abs/2302.11638