Identification of in-sample positivity violations using regression trees: The PoRT algorithm

The positivity assumption is crucial when drawing causal inferences from observational studies, but it is often overlooked in practice. A violation of positivity occurs when the sample contains a subgroup of individuals with an extreme relative frequency of experiencing one of the levels of exposure...

Full description

Bibliographic Details
Main Authors: Danelian Gabriel, Foucher Yohann, Léger Maxime, Le Borgne Florent, Chatton Arthur
Format: Article
Language:English
Published: De Gruyter 2023-11-01
Series:Journal of Causal Inference
Subjects:
Online Access:https://doi.org/10.1515/jci-2022-0032