Estimation of the average causal effect via multiple propensity score stratification

DOI10.1080/03610918.2016.1208230zbMath1462.62394OpenAlexW2766204142MaRDI QIDQ4563386

Satoshi Hattori, Takanobu Nomura

Publication date: 1 June 2018

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2016.1208230

zbMATH Keywords

stratificationclusteringnonparametric estimationconfoundingmodel misspecificationpropensity scoremultiple robustnessaverage causal effect (ACE)

Mathematics Subject Classification ID

Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Cites Work

• Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
• A further study of the multiply robust estimator in missing data analysis
• Model Selection and Model Averaging
• The central role of the propensity score in observational studies for causal effects
• Model-Based Direct Adjustment
• Estimation with missing data: beyond double robustness

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