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Theory and Methods

Semiparametric Accelerated Failure Time Modeling for Clustered Failure Times From Stratified Sampling

Pages 621-629 | Received 01 May 2013, Published online: 06 Jul 2015

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Dongjae Son, Sangbum Choi & Sangwook Kang. (2023) Quantile regression for competing risks data from stratified case-cohort studies: an induced-smoothing approach. Journal of Statistical Computation and Simulation 93:8, pages 1225-1243.
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Fu Liya, Zhuoran Yang, Jun Zhang, Anle Long & Yan Zhou. (2021) Generalized estimating equations for analyzing multivariate survival data. Communications in Statistics - Simulation and Computation 50:10, pages 3060-3068.
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Steve Su. (2021) Flexible parametric accelerated failure time model. Journal of Biopharmaceutical Statistics 31:5, pages 650-667.
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Sangwook Kang. (2017) Fitting semiparametric accelerated failure time models for nested case–control data. Journal of Statistical Computation and Simulation 87:4, pages 652-663.
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Articles from other publishers (12)

Soo Min Kim, Yunsu Choi, Sangwook Kang & Korea HIV/AIDS cohort study. (2024) Smoothed quantile residual life regression analysis with application to the Korea HIV/AIDS cohort study. BMC Medical Research Methodology 24:1.
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Kyu Hyun Kim, Daniel J. Caplan & Sangwook Kang. (2022) Smoothed quantile regression for censored residual life. Computational Statistics 38:2, pages 1001-1022.
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Byungtae Seo & Sangwook Kang. (2021) Accelerated failure time modeling via nonparametric mixtures. Biometrics 79:1, pages 165-177.
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Kyuhyun Kim, Jungyeol Ko & Sangwook Kang. (2021) Comparison of variance estimation methods in semiparametric accelerated failure time models for multivariate failure time data. Japanese Journal of Statistics and Data Science 4:2, pages 1179-1202.
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Liya Fu, Zhuoran Yang, Yan Zhou & You-Gan Wang. (2021) An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data. Lifetime Data Analysis 27:4, pages 679-709.
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Benjamin M. Reist & Richard Valliant. (2020) Model‐assisted estimators for time‐to‐event data from complex surveys. Statistics in Medicine 39:29, pages 4351-4371.
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Liya Fu, Zhuoran Yang, Mingtao Zhao & Yan Zhou. (2019) Efficient parameter estimation for multivariate accelerated failure time model via the quadratic inference functions method. Random Matrices: Theory and Applications 08:04, pages 1950013.
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Fangyuan Kang, Liuquan Sun & Ximing Cheng. (2018) An Additive Hazards Model for Clustered Recurrent Gap Times. Journal of Systems Science and Complexity 31:5, pages 1377-1390.
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Sangbum Choi, Sangwook Kang & Xuelin Huang. (2018) Smoothed quantile regression analysis of competing risks. Biometrical Journal 60:5, pages 934-946.
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Tianmeng Lyu, Xianghua Luo, Gongjun Xu & Chiung‐Yu Huang. (2017) Induced smoothing for rank‐based regression with recurrent gap time data. Statistics in Medicine 37:7, pages 1086-1100.
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Haiming Zhou, Timothy Hanson & Jiajia Zhang. (2016) Generalized accelerated failure time spatial frailty model for arbitrarily censored data. Lifetime Data Analysis 23:3, pages 495-515.
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S. ChiouS. Kang & J. Yan. (2015) Rank-based estimating equations with general weight for accelerated failure time models: an induced smoothing approach. Statistics in Medicine 34:9, pages 1495-1510.
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