Validating effectiveness of subgroup identification for longitudinal data.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7500
Abstract: In clinical trials and biomedical studies, treatments are compared to determine which one is effective against illness; however, individuals can react to the same treatment very differently. We propose a complete process for longitudinal data… read more here.
Keywords: longitudinal data; validating effectiveness; individual treatment; treatment ... See more keywords
BITES: balanced individual treatment effect for survival data
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac221
Abstract: Abstract Motivation Estimating the effects of interventions on patient outcome is one of the key aspects of personalized medicine. Their inference is often challenged by the fact that the training data comprises only the outcome… read more here.
Keywords: treatment effect; survival; balanced individual; bites balanced ... See more keywords
Non-parametric individual treatment effect estimation for survival data with random forests
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz602
Abstract: MOTIVATION Personalized medicine often relies on accurate estimation of a treatment effect for specific subjects. This estimation can be based on the subject's baseline covariates but additional complications arise for a time-to-event response subject to… read more here.
Keywords: individual treatment; estimation; treatment; effect ... See more keywords
Should the governance of individual treatment attempts (''Individuelle Heilversuche '') include praxis evaluation? Results from qualitative stakeholder interviews.
Sign Up to like & getrecommendations! Published in 2022 at "Health policy"
DOI: 10.1101/2022.03.21.22272689
Abstract: Introduction: Individual treatment attempts (ITAs) are a German concept for the treatment of individual patients by physicians with nonstandard therapeutic approaches. ITAs span from nonstandard off-label drug uses to first-in-human uses of newly developed drugs/… read more here.
Keywords: evaluation; evaluation results; treatment attempts; retrospective evaluation ... See more keywords
Estimating individual treatment effects on COPD exacerbations by causal machine learning on randomised controlled trials
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DOI: 10.1136/thorax-2022-219382
Abstract: Rationale Estimating the causal effect of an intervention at individual level, also called individual treatment effect (ITE), may help in identifying response prior to the intervention. Objectives We aimed to develop machine learning (ML) models… read more here.
Keywords: controlled trials; machine learning; randomised controlled; causal ... See more keywords
[Estimation on the individual treatment effect among heterogeneous population, using the Causal Forests method].
Sign Up to like & getrecommendations! Published in 2019 at "Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi"
DOI: 10.3760/cma.j.issn.0254-6450.2019.06.020
Abstract: Objective: This project aimed to explore the effectiveness of estimating individual treatment effect on real data, among the heterogeneous population, with Causal Forests (CF) method, to find out the characteristics of heterogeneous population. Methods: We… read more here.
Keywords: individual treatment; heterogeneous population; treatment; effect ... See more keywords