Assessing lack of common support in causal inference using Bayesian nonparametrics: Implications for evaluating the effect of breastfeeding on children's cognitive outcomes

DOI10.1214/13-AOAS630zbMath1283.62220arXiv1311.7244OpenAlexW2069753406WikidataQ99716380 ScholiaQ99716380MaRDI QIDQ386729

Mohammad Hasan, H. S. Yoon

Publication date: 10 December 2013

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1311.7244

zbMATH Keywords

BARTpropensity scorescommon supportoverlaps

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric inference (62G99)

Related Items (10)

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Uses Software

• R
• gam
• twang
• gbm
• BayesTree
• PSMATCH2
• MatchIt
• BartPy

Cites Work

• Unnamed Item
• BART: Bayesian additive regression trees
• The prognostic analogue of the propensity score
• Dealing with limited overlap in estimation of average treatment effects
• The central role of the propensity score in observational studies for causal effects
• Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
• Random forests

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