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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Bibliographic Details

Published in:	American Statistician Vol. 76; no. 3; pp. 292 - 305
Main Authors:	Hines, Oliver, Dukes, Oliver, Diaz-Ordaz, Karla, Vansteelandt, Stijn
Format:	Article
Published:	Taylor & Francis Ltd Aug2022
Subjects:	Statistical learning Nonparametric statistics Parametric modeling Sample size (Statistics) Machine learning Treatment effectiveness
Online Access:	View this record in EBSCOhost