Estimating propensity scores using neural networks and traditional methods: a comparative simulation study-Reference-Cited by-同舟云学术

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

Published:2021-08-12 Issue: Volume: Page:1-16
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Collier Zachary K.¹^ORCID,Leite Walter L.²^ORCID,Zhang Haobai¹

Affiliation:

1. University of Delaware, Delaware, Newark, USA

2. University of Florida, Gainesville, Florida, USA

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2021.1963455

Reference58 articles.

1. Should a propensity score model be super? The utility of ensemble procedures for causal adjustment

2. Practical Statistics for Medical Research

3. The specification of the propensity score in multilevel observational studies

4. Using Ensemble-Based Methods for Directly Estimating Causal Effects: An Investigation of Tree-Based G-Computation

5. Bembom, O., and M. J. Van der Laan. 2008. Data-adaptive selection of the truncation level for inverse-probability-of-treatment-weighted estimators. U.C. Berkeley Division of Biostatistics Working Paper Series. http://biostats.bepress.com/ucbbiostat/paper230

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