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Falco J. Bargagli Stoffi

Harvard University (from arXiv:2306.08165, 2023) · ORCID · OpenAlex

11 papers in scope · 10 published · 3 on the econ.EM arXiv · 88 citations · h-index 5 (over the papers listed here)

Papers

(2 of 11)

Estimating and discovering heterogeneous treatment effects using machine learning in epidemiological studies: a practical guide
published2026 · International Journal of Epidemiology
with Toshiaki Komura, Falco J. Bargagli-Stoffi, Onyebuchi A. Arah, Kosuke Inoue
International Journal of Epidemiology
Towards optimal environmental policies: policy learning under arbitrary bipartite network interference
published2025 · Biostatistics
with Raphael C. Kim, Falco J. Bargagli-Stoffi, Kevin L. Chen, Rachel C. Nethery
Biostatistics
Two-step pragmatic subgroup discovery for heterogeneous treatment effects analyses: perspectives toward enhanced interpretability
published2025 · European Journal of Epidemiology · 3 citations
with Toshiaki Komura, Falco J. Bargagli-Stoffi, Koichiro Shiba, Kosuke Inoue
European Journal of Epidemiology
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology
published2024 · Biometrics · 7 citations · first circulated 2023
with Dafne Zorzetto, Falco J. Bargagli-Stoffi, Antonio Canale, Francesca Dominici
Biometrics
CRE: An R package for interpretable discovery andinference of heterogeneous treatment effects
published2023 · The Journal of Open Source Software
with Riccardo Cadei, Naeem Khoshnevis, Kwonsang Lee, Daniela Maria Garcia
The Journal of Open Source Software
Machine learning for zombie hunting: predicting distress from firms’ accounts and missing values
published2023 · Industrial and Corporate Change · 7 citations · first circulated 2022
with Falco J. Bargagli-Stoffi, Fabio Incerti, Massimo Riccaboni, Armando Rungi, Falco Bargagli Stoffi
Paper profile Industrial and Corporate Change arXiv:2306.08165
Predicting choice behaviour in economic games using gaze data encoded as scanpath images
published2023 · Scientific Reports · 14 citations · first circulated 2022
with Sean Anthony Byrne, Adam Peter Frederick Reynolds, Carolina Biliotti, Falco J. Bargagli-Stoffi, Luca Polonio, Massimo Riccaboni
Scientific Reports
Heterogeneous causal effects with imperfect compliance: A Bayesian machine learning approach
published2022 · The Annals of Applied Statistics · 27 citations · first circulated 2019
with Falco J. Bargagli-Stoffi, Kristof De Witte, Giorgio Gnecco, Kristof De-Witte
The Annals of Applied Statistics
Assessing the Value of Echocardiography in the Absence of Randomized Trials: How Analytic Techniques from Causal Inference Can Fill the Gap
published2021 · Journal of the American Society of Echocardiography · 1 citations
with Jason H. Wasfy, Falco J. Bargagli-Stoffi
Journal of the American Society of Echocardiography
Assessing Sensitivity of Machine Learning Predictions.A Novel Toolbox with an Application to Financial Literacy
working paper2021 · arXiv · 2 citations
with Kenneth De Beckker, Joana Elisa Maldonado, Kristof De Witte
Paper profile arXiv arXiv:2102.04382
Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms
published2019 · International Journal of Data Science and Analytics · 27 citations
with Giorgio Gnecco
International Journal of Data Science and Analytics

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.