Maximum entropy in the mean methods in propensity score matching for interval and noisy data-Reference-Cited by-同舟云学术

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Maximum entropy in the mean methods in propensity score matching for interval and noisy data

Published:2018-10-08 Issue:18 Volume:48 Page:4581-4597
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Gunn Laura H.¹²,Gzyl Henryk³,ter Horst Enrique⁴,Ariza Miller Janny⁵,Molina German⁶

Affiliation:

1. Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA;

2. School of Public Health, Faculty of Medicine, Imperial College London, London, UK;

3. Centro de Finanzas, IESA, Caracas, Venezuela;

4. University of the Andes School of Management (Uniandes), Bogotá, Colombia;

5. Ingenieria Financiera, Universidad Piloto de Colombia, Bogotá, Colombia;

6. Idalion Capital Group, London, UK

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2018.1497656

Reference63 articles.

1. 4. Bayesian Propensity Score Estimators: Incorporating Uncertainties in Propensity Scores into Causal Inference

2. A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003

3. Statistical Criteria for Selecting the Optimal Number of Untreated Subjects Matched to Each Treated Subject When Using Many-to-One Matching on the Propensity Score

4. Optimal caliper widths for propensity‐score matching when estimating differences in means and differences in proportions in observational studies

5. A comparison of 12 algorithms for matching on the propensity score

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