Bias in Balance Optimization Subset Selection: Exploration through examples-Reference-Cited by-同舟云学术

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Bias in Balance Optimization Subset Selection: Exploration through examples

Published:2018-02-22 Issue:1 Volume:70 Page:67-80
ISSN:0160-5682
Container-title:Journal of the Operational Research Society
language:en
Short-container-title:Journal of the Operational Research Society

Author:

Kwon Hee Youn¹^ORCID,Sauppe Jason J.²^ORCID,Jacobson Sheldon H.³^ORCID

Affiliation:

1. Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana–Champaign, Champaign, IL, USA.

2. Department of Computer Science, University of Wisconsin–La Crosse, La Crosse, WI, USA.

3. Department of Computer Science, University of Illinois at Urbana–Champaign, Champaign, IL, USA.

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/01605682.2017.1421848

Reference19 articles.

1. Bias-Corrected Matching Estimators for Average Treatment Effects

2. On the Distribution of the Two-Sample Cramer-von Mises Criterion

3. The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples

4. Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies

5. Randomized Clinical Trials and Observational Studies

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating causal effects with optimization-based methods: A review and empirical comparison;European Journal of Operational Research;2023-01

2. Algorithms and Complexities of Matching Variants in Covariate Balancing;Operations Research;2022-04-26

3. Duality in balance optimization subset selection;Annals of Operations Research;2020-03-10

4. Treatment Effect Decomposition and Bootstrap Hypothesis Testing in Observational Studies;Annals of Data Science;2018-09-08

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