A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial

Research article (The Annals of Applied Statistics, 2024) · cited 22× · AI/ML
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A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial

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A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-bayesian-machine-learning-approach-for-estimating-heterogeneous-survivor-causal-effects-applications-to-a-critical-car
MLA “A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-bayesian-machine-learning-approach-for-estimating-heterogeneous-survivor-causal-effects-applications-to-a-critical-car.
BibTeX @misc{4ortxyz_a-bayesian-machine-learning-approach-for-estimating-heterogeneous-survivor-causal-effects-applications-to-a-critical-car_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial}}, year = {2026}, url = {https://4ort.xyz/entity/a-bayesian-machine-learning-approach-for-estimating-heterogeneous-survivor-causal-effects-applications-to-a-critical-car}, note = {Accessed: 2026-05-24}}
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