Covariate balancing for high-dimensional samples in controlled experiments

Authors

Penggao Yan (ORCID: https://orcid.org/0000-0003-0994-9258)
Shuaian Wang (ORCID: https://orcid.org/0000-0001-9247-4403)
Ran Yan (ORCID: https://orcid.org/0000-0002-3021-9543)
Xi Luo (ORCID: https://orcid.org/0009-0003-1195-1012)

Institutions

Hong Kong Polytechnic University (HK)
Nanyang Technological University (SG)
Xi'an Aeronautical University (CN)

Publication Details

Journal: Journal of the Operational Research Society
Published: 2024-11-05
DOI: https://doi.org/10.1080/01605682.2024.2423362
Primary Topic: Statistical Methods in Clinical Trials
Type: article
Field-Weighted Citation Impact: 0.00

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article

Covariate balancing for high-dimensional samples in controlled experiments

Penggao Yan, Shuaian Wang, Ran Yan, Xi Luo

Nov 5, 2024

Journal of the Operational Research Society

Statistical Methods in Clinical Trials

article

Covariate balancing for high-dimensional samples in controlled experiments

Penggao Yan, Shuaian Wang, Ran Yan, Xi Luo

November 5, 2024article en

Abstract

No abstract available for this paper.

Journal of the Operational Research SocietyVol. 76(8)

Hong Kong Polytechnic University (HK), Nanyang Technological University (SG), Xi'an Aeronautical University (CN)

Openalex Percentile: Top 80%

Statistical Methods in Clinical Trials

DOI Source OpenAlex

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Covariate balancing for high-dimensional samples in controlled experiments — Penggao Yan, Shuaian Wang, et al. · Journal of the Operational Research Society (2024) | TGRS Research Map | TGRS