A risk set calibration method for failure time regression by using a covariate reliability sample
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DOI: 10.1111/1467-9868.00317
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Cited by:
- C. Y. Wang, 2008. "Non‐parametric Maximum Likelihood Estimation for Cox Regression with Subject‐Specific Measurement Error," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(4), pages 613-628, December.
- Sehee Kim & Yi Li & Donna Spiegelman, 2016. "A semiparametric copula method for Cox models with covariate measurement error," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 22(1), pages 1-16, January.
- Ching‐Yun Wang & Xiao Song, 2021. "Semiparametric regression calibration for general hazard models in survival analysis with covariate measurement error; surprising performance under linear hazard," Biometrics, The International Biometric Society, vol. 77(2), pages 561-572, June.
- Chi-Chung Wen, 2010. "Semiparametric maximum likelihood estimation in Cox proportional hazards model with covariate measurement errors," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 72(2), pages 199-217, September.
- Cheng Zheng & Yingye Zheng, 2019. "Calibrating Variations in Biomarker Measures for Improving Prediction with Time-to-event Outcomes," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(3), pages 477-503, December.
- Xiaomei Liao & David M. Zucker & Yi Li & Donna Spiegelman, 2011. "Survival Analysis with Error-Prone Time-Varying Covariates: A Risk Set Calibration Approach," Biometrics, The International Biometric Society, vol. 67(1), pages 50-58, March.
- Yijian Huang & Ching†Yun Wang, 2018. "Cox regression with dependent error in covariates," Biometrics, The International Biometric Society, vol. 74(1), pages 118-126, March.
- Yanlin Tang & Xinyuan Song & Grace Yun Yi, 2022. "Bayesian analysis under accelerated failure time models with error-prone time-to-event outcomes," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 28(1), pages 139-168, January.
- Xiao Song & Edward C. Chao & Ching‐Yun Wang, 2023. "A smoothed corrected score approach for proportional hazards model with misclassified discretized covariates induced by error‐contaminated continuous time‐dependent exposure," Biometrics, The International Biometric Society, vol. 79(1), pages 437-448, March.
- Wen Ye & Xihong Lin & Jeremy M. G. Taylor, 2008. "Semiparametric Modeling of Longitudinal Measurements and Time-to-Event Data–A Two-Stage Regression Calibration Approach," Biometrics, The International Biometric Society, vol. 64(4), pages 1238-1246, December.
- Pamela A. Shaw & Ross L. Prentice, 2012. "Hazard Ratio Estimation for Biomarker-Calibrated Dietary Exposures," Biometrics, The International Biometric Society, vol. 68(2), pages 397-407, June.
- Shanshan Zhao & Ross L. Prentice, 2014. "Covariate measurement error correction methods in mediation analysis with failure time data," Biometrics, The International Biometric Society, vol. 70(4), pages 835-844, December.
- Li‐Pang Chen & Grace Y. Yi, 2021. "Analysis of noisy survival data with graphical proportional hazards measurement error models," Biometrics, The International Biometric Society, vol. 77(3), pages 956-969, September.
- Li-Pang Chen & Grace Y. Yi, 2021. "Semiparametric methods for left-truncated and right-censored survival data with covariate measurement error," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 73(3), pages 481-517, June.
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