Efficient targeted learning of heterogeneous treatment effects for multiple subgroups

In biomedical science, analyzing treatment effect heterogeneity plays an essential role in assisting personalized medicine. The main goals of analyzing treatment effect heterogeneity include estimating treatment effects in clinically relevant subgroups and predicting whether a patient subpopulation...

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Veröffentlicht in:	Biometrics 2023-09, Vol.79 (3), p.1934-1946
Hauptverfasser:	Wei, Waverly, Petersen, Maya, van der Laan, Mark J, Zheng, Zeyu, Wu, Chong, Wang, Jingshen
Format:	Artikel
Sprache:	eng
Schlagworte:	Alzheimer's disease Computer Simulation Estimation Heterogeneity Humans Likelihood Functions Machine Learning Neurodegenerative diseases Precision Medicine Propensity Score Subgroups
Online-Zugang:	Volltext
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