Back to Search
Start Over
Identification of in-sample positivity violations using regression trees: The PoRT algorithm
- Source :
- Journal of Causal Inference, Vol 11, Iss 1, Pp 644-54 (2023)
- Publication Year :
- 2023
- Publisher :
- De Gruyter, 2023.
-
Abstract
- 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. To correctly estimate the causal effect, we must identify such individuals. For this purpose, we suggest a regression tree-based algorithm.
Details
- Language :
- English
- ISSN :
- 21933685
- Volume :
- 11
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Causal Inference
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.9938a991fedd455092e5916eeb11e38e
- Document Type :
- article
- Full Text :
- https://doi.org/10.1515/jci-2022-0032