Some methods for heterogeneous treatment effect estimation in high dimensions.
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DOI: 10.1002/sim.7623
Abstract: When devising a course of treatment for a patient, doctors often have little quantitative evidence on which to base their decisions, beyond their medical education and published clinical trials. Stanford Health Care alone has millions… read more here.
Keywords: methods heterogeneous; effect estimation; treatment; heterogeneous treatment ... See more keywords
Comparing methods for estimation of heterogeneous treatment effects using observational data from health care databases.
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DOI: 10.1002/sim.7820
Abstract: There is growing interest in using routinely collected data from health care databases to study the safety and effectiveness of therapies in "real-world" conditions, as it can provide complementary evidence to that of randomized controlled… read more here.
Keywords: health; care databases; health care; heterogeneous treatment ... See more keywords
Assessment of heterogeneous treatment effect estimation accuracy via matching.
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DOI: 10.1002/sim.9010
Abstract: We study the assessment of the accuracy of heterogeneous treatment effect (HTE) estimation, where the HTE is not directly observable so standard computation of prediction errors is not applicable. To tackle the difficulty, we propose… read more here.
Keywords: estimation; heterogeneous treatment; accuracy; treatment effect ... See more keywords
Estimation and visualization of heterogeneous treatment effects for multiple outcomes
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DOI: 10.1002/sim.9638
Abstract: We consider two‐arm comparison in clinical trials. The objective is to identify a population with characteristics that make the treatment effective. Such a population is called a subgroup. This identification can be made by estimating… read more here.
Keywords: heterogeneous treatment; treatment effects; estimation visualization; visualization heterogeneous ... See more keywords
Practical Guide to Honest Causal Forests for Identifying Heterogeneous Treatment Effects.
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DOI: 10.1093/aje/kwad043
Abstract: "Heterogeneous treatment effects" is a term which refers to conditional average treatment effects (i.e., CATEs) that vary across population subgroups. Epidemiologists are often interested in estimating such effects because they can help detect populations who… read more here.
Keywords: heterogeneous treatment; treatment effects; causal forests; honest causal ... See more keywords
Best for Whom? Heterogeneous Treatment Effects of Breastfeeding on Child Development
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DOI: 10.1093/sf/soad075
Abstract: The slogan “Breast is Best” has been popularized by medical organizations and parenting networks to extoll the benefits of breastfeeding, yet the causal effects are widely debated. Our study contributes to the debate by examining… read more here.
Keywords: heterogeneous treatment; treatment effects; development; breastfeeding child ... See more keywords
Bridging the Gap: A Systematic Benchmarking of Uplift Modeling and Heterogeneous Treatment Effects Methods
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DOI: 10.1177/10949968221111083
Abstract: Choosing the correct method to predict the incremental effect of a treatment on customer response is critical to optimize targeting policies in many important applications such as churn management and patient care. Two research streams,… read more here.
Keywords: heterogeneous treatment; treatment effects; modeling heterogeneous; uplift modeling ... See more keywords
Estimating Heterogeneous Treatment Effects Within Latent Class Multilevel Models: A Bayesian Approach
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DOI: 10.3102/10769986221115446
Abstract: This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes,… read more here.
Keywords: heterogeneous treatment; treatment effects; multilevel; latent class ... See more keywords
Modeling Item-Level Heterogeneous Treatment Effects With the Explanatory Item Response Model: Leveraging Large-Scale Online Assessments to Pinpoint the Impact of Educational Interventions
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DOI: 10.3102/10769986231171710
Abstract: Analyses that reveal how treatment effects vary allow researchers, practitioners, and policymakers to better understand the efficacy of educational interventions. In practice, however, standard statistical methods for addressing heterogeneous treatment effects (HTE) fail to address… read more here.
Keywords: heterogeneous treatment; treatment effects; item level; educational interventions ... See more keywords
Stan and BART for Causal Inference: Estimating Heterogeneous Treatment Effects Using the Power of Stan and the Flexibility of Machine Learning
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DOI: 10.3390/e24121782
Abstract: A wide range of machine-learning-based approaches have been developed in the past decade, increasing our ability to accurately model nonlinear and nonadditive response surfaces. This has improved performance for inferential tasks such as estimating average… read more here.
Keywords: heterogeneous treatment; treatment effects; machine learning; flexibility ... See more keywords