Harnessing Causal Forests for Epidemiologic Research: Key Consideration.
Sign Up to like & getrecommendations! Published in 2024 at "American journal of epidemiology"
DOI: 10.1093/aje/kwae003
Abstract: Assessing heterogeneous treatment effects (HTEs) is an essential task in epidemiology. The recent integration of machine learning into causal inference has provided a new, flexible tool for evaluating complex HTEs: causal forest. Jawadekar et al.… read more here.
Keywords: epidemiology; causal forest; epidemiologic research; research ... See more keywords
Heterogeneous Cardiovascular Effects of SGLT2 Inhibitors in Type 2 Diabetes: A Causal Forest and Target Trial Emulation Study.
Sign Up to like & getrecommendations! Published in 2025 at "European journal of preventive cardiology"
DOI: 10.1093/eurjpc/zwaf539
Abstract: AIMS Evidence is limited as to who benefit the most from sodium-glucose cotransporter-2 inhibitors (SGLT2i), especially among people without elevated cardiovascular disease (CVD) risk. To address this knowledge gap, we investigated the heterogeneity in the… read more here.
Keywords: causal forest; risk; trial emulation; cvd risk ... See more keywords
Balancing External vs. Internal Validity: An Application of Causal Forest in Finance
Sign Up to like & getrecommendations! Published in 2025 at "Management Science"
DOI: 10.1287/mnsc.2023.00109
Abstract: Answering causal questions with generalizable results is challenging. Estimators requiring pseudorandomization provide estimates with no bias (i.e., strong internal validity) but limited generalizability (i.e., weak external validity). Theoretically, causal forest, a nonparametric, machine learning–based matching… read more here.
Keywords: finance; causal forest; internal validity; balancing external ... See more keywords