Wird geladen...

A ROBUST AND EFFICIENT APPROACH TO CAUSAL INFERENCE BASED ON SPARSE SUFFICIENT DIMENSION REDUCTION

A fundamental assumption used in causal inference with observational data is that treatment assignment is ignorable given measured confounding variables. This assumption of no missing confounders is plausible if a large number of baseline covariates are included in the analysis, as we often have no...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Ann Stat
Hauptverfasser: MA, SHUJIE, ZHU, LIPING, ZHANG, ZHIWEI, TSAI, CHIH-LING, CARROLL, RAYMOND J.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2019
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6588012/
https://ncbi.nlm.nih.gov/pubmed/31231143
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/18-AOS1722
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!