AIMC Topic: Treatment Effect Heterogeneity

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Analysis of the heterogeneous treatment effect of vasoactive drug dosage and time on hospital mortality across different sepsis phenotypes: a retrospective cohort study.

European journal of medical research May 24, 2025
BACKGROUND: The heterogeneity of sepsis poses challenges for the individualized treatment of vasoactive drugs.
Male Middle Aged Sepsis Female Aged Norepinephrine Vasoconstrictor Agents Treatment Effect Heterogeneity Hospital Mortality Dose-Response Relationship, Drug Time Factors Humans Phenotype Retrospective Studies
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Two-step pragmatic subgroup discovery for heterogeneous treatment effects analyses: perspectives toward enhanced interpretability.

European journal of epidemiology Mar 4, 2025
Effect heterogeneity analyses using causal machine learning algorithms have gained popularity in recent years. However, the interpretation of estimated individualized effects requires caution because insights from these data-driven approaches might b...
Cardiovascular Diseases Diabetes Mellitus, Type 2 Treatment Effect Heterogeneity Life Style Humans Machine Learning Algorithms
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Application of causal forests to randomised controlled trial data to identify heterogeneous treatment effects: a case study.

BMC medical research methodology Feb 22, 2025
BACKGROUND: Classical approaches to subgroup analysis in randomised controlled trials (RCTs) to identify heterogeneous treatment effects (HTEs) involve testing the interaction between each pre-specified possible treatment effect modifier and the trea...
Male Shock, Septic Treatment Outcome Machine Learning Female Potassium Treatment Effect Heterogeneity Randomized Controlled Trials as Topic Norepinephrine Humans
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Machine learning approaches to evaluate heterogeneous treatment effects in randomized controlled trials: a scoping review.

Journal of clinical epidemiology Sep 19, 2024
BACKGROUND AND OBJECTIVES: Estimating heterogeneous treatment effects (HTEs) in randomized controlled trials (RCTs) has received substantial attention recently. This has led to the development of several statistical and machine learning (ML) algorith...
Machine Learning Algorithms Humans Bayes Theorem Treatment Outcome Treatment Effect Heterogeneity Randomized Controlled Trials as Topic
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A new method for clustered survival data: Estimation of treatment effect heterogeneity and variable selection.

Biometrical journal. Biometrische Zeitschrift Dec 10, 2023
We recently developed a new method random-intercept accelerated failure time model with Bayesian additive regression trees (riAFT-BART) to draw causal inferences about population treatment effect on patient survival from clustered and censored surviv...
Likelihood Functions Treatment Effect Heterogeneity Machine Learning Computer Simulation Humans Bayes Theorem
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A Tutorial Introduction to Heterogeneous Treatment Effect Estimation with Meta-learners.

Administration and policy in mental health Nov 3, 2023
Psychotherapy has been proven to be effective on average, though patients respond very differently to treatment. Understanding which characteristics are associated with treatment effect heterogeneity can help to customize therapy to the individual pa...
Treatment Effect Heterogeneity Machine Learning Humans Algorithms Psychotherapy
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Heterogeneous treatment effects of coronary artery bypass grafting in ischemic cardiomyopathy: A machine learning causal forest analysis.

The Journal of thoracic and cardiovascular surgery Sep 15, 2023
OBJECTIVES: We aim to evaluate the heterogeneous treatment effects of coronary artery bypass grafting in patients with ischemic cardiomyopathy and to identify a group of patients to have greater benefits from coronary artery bypass grafting compared ...
Male Myocardial Ischemia Treatment Effect Heterogeneity Ventricular Function, Left Female Middle Aged Stroke Volume Coronary Artery Bypass Humans Treatment Outcome Risk Factors Risk Assessment Cardiomyopathies Machine Learning Age Factors Aged
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Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial With Causal Forests.

International journal of methods in psychiatric research Jun 1, 2025
BACKGROUND: Flexible machine learning tools are increasingly used to estimate heterogeneous treatment effects.
Humans Military Personnel Treatment Effect Heterogeneity Psychiatry Machine Learning Data Interpretation, Statistical Algorithms Outcome Assessment, Health Care
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Survival causal rule ensemble method considering the main effect for estimating heterogeneous treatment effects.

Statistics in medicine Nov 30, 2024
With an increasing focus on precision medicine in medical research, numerous studies have been conducted in recent years to clarify the relationship between treatment effects and patient characteristics. The treatment effects for patients with differ...
Computer Simulation Precision Medicine Survival Analysis Machine Learning Treatment Effect Heterogeneity Treatment Outcome Models, Statistical HIV Infections Humans
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