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Journal of the American Statistical Association Volume 107, 2012 - Issue 499
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Applications and Case Studies

Composite Partial Likelihood Estimation Under Length-Biased Sampling, With Application to a Prevalent Cohort Study of Dementia

Chiung-yu Huang Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, 20892
&
Jing Qin Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, 20892
Pages 946-957 | Received 01 Jan 2011, Published online: 08 Oct 2012

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Yichen Lou, Peijie Wang & Jianguo Sun. (2023) Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data. Journal of Nonparametric Statistics 35:1, pages 38-55.
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Da Xu & Yong Zhou. (2019) Local composite partial likelihood estimation for length-biased and right-censored data. Journal of Statistical Computation and Simulation 89:14, pages 2661-2677.
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Wenhua Wei, Alan T. K. Wan & Yong Zhou. (2018) Partially linear transformation model for length-biased and right-censored data. Journal of Nonparametric Statistics 30:2, pages 332-367.
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Gongjun Xu, Tony Sit, Lan Wang & Chiung-Yu Huang. (2017) Estimation and Inference of Quantile Regression for Survival Data Under Biased Sampling. Journal of the American Statistical Association 112:520, pages 1571-1586.
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Huijuan Ma & Yong Zhou. (2017) Pseudo-likelihood for case–cohort studies under length-biased sampling. Communications in Statistics - Theory and Methods 46:1, pages 28-48.
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Alan T. K. Wan, Wei Zhao, Peter Gilbert & Yong Zhou. (2023) A varying-coefficient partially linear transformation model for length-biased data with an application to HIV vaccine studies. The International Journal of Biostatistics 19:1, pages 131-162.
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James H. McVittie, Ana F. Best, David B. Wolfson, David A. Stephens, Julian Wolfson, David L. Buckeridge & Shahinaz M. Gadalla. (2022) Survival Modelling for Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis Using Electronic Health Records. International Statistical Review 91:1, pages 72-87.
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Peijie Wang, Danning Li & Jianguo Sun. (2020) A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model. Biometrics 77:4, pages 1303-1314.
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Yifan He & Yong Zhou. (2020) Nonparametric and semiparametric estimators of restricted mean survival time under length-biased sampling. Lifetime Data Analysis 26:4, pages 761-788.
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Da Xu & Yong Zhou. (2020) Proportional Mean Residual Life Model with Varying Coefficients for Length-Biased and Right-Censored Data. Acta Mathematica Sinica, English Series 36:5, pages 578-596.
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Hongping Wu, Caifeng Du & Xiaosha Li. (2020) Estimating equation for additive hazards model with censored length-biased data. Journal of the Korean Statistical Society 49:1, pages 200-222.
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Hongping Wu, Xiaomin Cao & Caifeng Du. (2019) Estimating equations of additive mean residual life model with censored length-biased data. Statistics & Probability Letters 154, pages 108552.
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Yutao Liu, Shucong Zhang & Yong Zhou. (2018) Semiparametric quantile-difference estimation for length-biased and right-censored data. Science China Mathematics 62:9, pages 1823-1838.
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Fei Gao & Kwun Chuen Gary Chan. (2019) Semiparametric Regression Analysis of Length-Biased Interval-Censored Data. Biometrics 75:1, pages 121-132.
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Chi Hyun Lee, Jing Ning & Yu Shen. (2018) Model diagnostics for the proportional hazards model with length-biased data. Lifetime Data Analysis 25:1, pages 79-96.
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Yifei Sun, Jing Qin & Chiung-Yu Huang. (2018) Missing Information Principle: A Unified Approach for General Truncated and Censored Survival Data Problems. Statistical Science 33:2.
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Jianhua Shi, Huijuan Ma & Yong Zhou. (2018) The nonparametric quantile estimation for length-biased and right-censored data. Statistics & Probability Letters 134, pages 150-158.
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Yixin Wang, Zhefang Zhou, Xiao‐Hua ZhouYong Zhou. (2017) Nonparametric and semiparametric estimation of quantile residual lifetime for length‐biased and right‐censored data. Canadian Journal of Statistics 45:2, pages 220-250.
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YanFeng Li, HuiJuan Ma, DeHui Wang & Yong Zhou. (2016) Analyzing the general biased data by additive risk model. Science China Mathematics 60:4, pages 685-700.
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Sy Han Chiou & Gongjun Xu. (2016) Rank-based estimation for semiparametric accelerated failure time model under length-biased sampling. Statistics and Computing 27:2, pages 483-500.
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Yu Shen, Jing Ning & Jing Qin. (2016) Nonparametric and semiparametric regression estimation for length-biased survival data. Lifetime Data Analysis 23:1, pages 3-24.
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Qiaozhen Zhang, Hongsheng Dai & Bo Fu. (2016) A proportional hazards model for time-to-event data with epidemiological bias. Journal of Multivariate Analysis 152, pages 224-236.
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Feipeng Zhang, Heng Peng & Yong Zhou. (2016) Composite partial likelihood estimation for length-biased and right-censored data with competing risks. Journal of Multivariate Analysis 149, pages 160-176.
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Zhiping Qiu, Jing Qin & Yong Zhou. (2015) Composite Estimating Equation Method for the Accelerated Failure Time Model with Length‐biased Sampling Data. Scandinavian Journal of Statistics 43:2, pages 396-415.
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Na Hu, Xuerong Chen & Jianguo Sun. (2014) Regression Analysis of Length‐biased and Right‐censored Failure Time Data with Missing Covariates. Scandinavian Journal of Statistics 42:2, pages 438-452.
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Huijuan Ma, Feipeng Zhang & Yong Zhou. (2015) Composite estimating equation approach for additive risk model with length-biased and right-censored data. Statistics & Probability Letters 96, pages 45-53.
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Yu‐Jen Cheng & Chiung‐Yu Huang. (2014) Combined estimating equation approaches for semiparametric transformation models with length‐biased survival data. Biometrics 70:3, pages 608-618.
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