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Journal of Statistical Computation and Simulation Volume 90, 2020 - Issue 1
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Articles

Efficient estimation of a varying-coefficient partially linear proportional hazards model with current status data

Jun-Qiang YangHunan Urban Construction College, Xiangtan, Hunan, People's Republic of ChinaView further author information
,
Yuan DongDepartment of Mathematics & Statistics, University of Calgary, Calgary, Alberta, CanadaView further author information
,
Radhey SinghDepartment of Mathematics & Statistics, University of Guelph, Guelph, Ontario, CanadaView further author information
,
Cheng DongDepartment of Statistics, University of Missouri, Columbia, MO, USAView further author information
&
Xuewen LuDepartment of Mathematics & Statistics, University of Calgary, Calgary, Alberta, CanadaCorrespondence[email protected]
View further author information
Pages 90-111 | Received 20 Sep 2018, Accepted 24 Sep 2019, Published online: 07 Oct 2019

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Yanqin Feng, Jie Wang & Yang Li. (2023) Goodness-of-fit inference for the additive hazards regression model with clustered current status data. Journal of Applied Statistics 50:9, pages 1921-1941.
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Riyadh Al-Mosawi & Xuewen Lu. (2022) Efficient estimation of semiparametric varying-coefficient partially linear transformation model with current status data. Journal of Statistical Computation and Simulation 92:2, pages 416-435.
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