Estimating propensity scores using neural networks and traditional methods: a comparative simulation study

DOI10.1080/03610918.2021.1963455OpenAlexW3194403184MaRDI QIDQ6061348

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Publication date: 7 December 2023

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

Full work available at URL: https://doi.org/10.1080/03610918.2021.1963455

zbMATH Keywords

neural networksdata miningpropensity scores

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Power comparison for propensity score methods
• Reducing the Dimensionality of Data with Neural Networks
• The central role of the propensity score in observational studies for causal effects
• The role of the propensity score in estimating dose-response functions
• Comparison of various machine learning algorithms for estimating generalized propensity score
• A comparison of machine learning algorithms and covariate balance measures for propensity score matching and weighting
• Causal Inference With General Treatment Regimes

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