Effects of bisphosphonates after denosumab discontinuation and treatment effect heterogeneity using causal machine learning. [PDF]
Kim M, Jeon N, Suh HS.
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Author Correction: Improving the accuracy of medical diagnosis with causal machine learning. [PDF]
Richens JG, Lee CM, Johri S.
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Expanding care coordination in an integrated health system through causal machine learning. [PDF]
Marafino BJ +9 more
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Combinatorial Polycation Synthesis and Causal Machine Learning Reveal Divergent Polymer Design Rules for Effective pDNA and Ribonucleoprotein Delivery. [PDF]
Kumar R +4 more
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Toward precision stroke rehabilitation: an integrated causal machine learning and clinician feedback approach. [PDF]
Baird A +7 more
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Estimating heterogeneous impacts Of subsidised health insurance: A causal machine learning approach. [PDF]
Shah V, Kreif N.
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Estimating heterogeneous survival treatment effects of lung cancer screening approaches: A causal machine learning analysis. [PDF]
Hu L, Lin JY, Sigel K, Kale M.
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Causal Machine Learning Methods and Use of Cross-Fitting in Settings With High-Dimensional Confounding. [PDF]
Ellul S +3 more
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Estimating Heterogeneous Treatment Effects With Target Trial Emulation: A Checklist of Causal Machine Learning for Observational Data. [PDF]
Wang X, Zou Y, Wang Y, Zhang C.
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The heterogeneous treatment effects of statins on dementia: a target trial emulation with causal machine learning using integrated genetic and real-world data. [PDF]
Lai Y +10 more
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