Targeted smooth Bayesian causal forests: an analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation
DOI10.1214/20-AOAS1438zbMath1478.62344arXiv1905.09405OpenAlexW3203693889MaRDI QIDQ2247463
James G. Scott, Jennifer E. Starling, Jared S. Murray, Abigail R. A. Aiken, Patricia A. Lohr, Carlos Marinho Carvalho
Publication date: 17 November 2021
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1905.09405
regularizationGaussian processcausal inferenceheterogeneous treatment effectsBayesian additive regression tree
Gaussian processes (60G15) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Probabilistic graphical models (62H22)
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Cites Work
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