Demystifying Statistical Learning Based on Efficient Influence Functions.

Evaluation of treatment effects and more general estimands is typically achieved via parametric modeling, which is unsatisfactory since model misspecification is likely. Data-adaptive model building (e.g., statistical/machine learning) is commonly employed to reduce the risk of misspecification. Naï...

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Publicado en:	American Statistician Vol. 76; no. 3; pp. 292 - 305
Autores principales:	Hines, Oliver, Dukes, Oliver, Diaz-Ordaz, Karla, Vansteelandt, Stijn
Formato:	Artículo
Publicado:	Taylor & Francis Ltd Aug2022
Materias:	Statistical learning Nonparametric statistics Parametric modeling Sample size (Statistics) Machine learning Treatment effectiveness
Acceso en línea:	Ver este registro en EBSCOhost