Joint mean-correlation model and its application to NorStOP binary data. (August 2020)

• Record Type: Journal Article
• Authors: Peng, Cheng; Yang, Yihe; Zhou, Jie; Pan, Jianxin
• Is Part Of: Journal of physics. Volume 1592(2020)
• Publication Date: 2020-08
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1592/1/012077
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: In this paper we propose a generalized estimating equations method to joint model the mean and correlation structures for longitudinal binary data based on Gaussian copula, and apply it to a large cohort study for the UK's North Staffordshire Osteoarthritis Project (NorStOP), where the responses can be pre-processed to binary variables. The resulting estimators for the mean and correlation parameters are proven to be consistent and asymptotically normally distributed. Since the theory and simulation results were studied in our previous manuscript [1], we give a brief introduction of our approach but mainly focus on its application to the NorStOP data.