政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/125124

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政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/125124

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/125124

Title:	Subdistribution regression for recurrent events under competing risks: with application to shunt thrombosis study in dialysis patients
Authors:	黃佳慧 Huang, C.-H. Li, B. Chen, C.-M. Wang, W. Chen, Y.-H.
Contributors:	統計系
Keywords:	Cumulative incidence;function Gap;times Hemodialysis Inverse;probability weighting ;Recurrent event;Time-varying coefficient
Date:	2017-12
Issue Date:	2019-08-13 09:18:50 (UTC+8)
Abstract:	Abstract This work is motivated by a nephrology study in Taiwan, where, after shunt implantation, dialysis patients may experience one of the two types, acute and non-acute, of shunt thrombosis, and each of them may alternatively recur in a patient. In this work, treating the two types of shunt thrombosis as competing risks, we assess covariate effects on the cumulative incidence probability function, or subdistribution, of gap times to the occurrences of acute shunt thrombosis. To accommodate potentially time-varying covariate effects, we extend a varying-coefficient subdistribution regression model to recurrent event analysis and propose associated estimation procedures. The inverse probability of censoring weighting technique is employed to ensure consistent estimation of the regression parameter. Asymptotic distributional theory is derived for the proposed estimator. Simulation results confirm that the proposed estimator performs well in finite samples. Application of the proposed analysis to the shunt thrombosis data reveals that dialysis patients with graft shunts and hypertension are associated with significantly increased incidence of acute shunt thrombosis.
Relation:	Statistics in Biosciences, Vol.9, pp.339-356
Data Type:	article
DOI 連結:	https://doi.org/10.1007/s12561-016-9161-0
DOI:	10.1007/s12561-016-9161-0
Appears in Collections:	[統計學系] 期刊論文

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