Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)

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Statistical Inference for Covariate Coefficient Adjustment Under Case-Cohort Sampling

Authors
Ellen Gondwe1, 2, Zhen Li1, Lifeng Deng1, *
1College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, Shandong, 266590, People’s Republic of China
2University of Malawi, Department of Mathematical Sciences, P.O. Box 280, Zomba, Malawi
*Corresponding author. Email: laiji1234@163.com
Corresponding Author
Lifeng Deng
Available Online 20 February 2026.
DOI
10.2991/978-94-6463-992-6_24How to use a DOI?
Keywords
Case-cohort design; Inverse probability weight; Quadratic upper bound
Abstract

In large cohort studies where measuring specific covariates is costly or complex, the case-cohort design is often used as a cost-effective sampling method. However, standard case-cohort analyses can be biased, mainly when covariate interference exists. To mitigate this bias, we propose an inverse probability weighted case-cohort sampling design. Building on this framework, we employ a binning method to account for covariate interference and implement a quadratic upper bound algorithm for parameter estimation. We evaluate the proposed approach using simulated data, comparing estimators of regression coefficients for covariates with and without interference, as well as those adjusted for interference under the Cox model. Finally, we apply the method to real data to demonstrate its practical usefulness and validate its performance.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
20 February 2026
ISBN
978-94-6463-992-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-992-6_24How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ellen Gondwe
AU  - Zhen Li
AU  - Lifeng Deng
PY  - 2026
DA  - 2026/02/20
TI  - Statistical Inference for Covariate Coefficient Adjustment Under Case-Cohort Sampling
BT  - Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)
PB  - Atlantis Press
SP  - 239
EP  - 260
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-992-6_24
DO  - 10.2991/978-94-6463-992-6_24
ID  - Gondwe2026
ER  -