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Survival Analysis With Heterogeneous Covariate Measurement Error

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  • Yi Li
  • Louise Ryan

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  • Yi Li & Louise Ryan, 2004. "Survival Analysis With Heterogeneous Covariate Measurement Error," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 724-735, January.
    • Handle: RePEc:bes:jnlasa:v:99:y:2004:p:724-735
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    References listed on IDEAS

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    1. Chengcheng Hu & D. Y. Lin, 2002. "Cox Regression with Covariate Measurement Error," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 29(4), pages 637-655, December.
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    Cited by:

    1. William Liu, 2023. "A Theory Guide to Using Control Functions to Instrument Hazard Models," Papers 2312.03165, arXiv.org.
    2. S. Magnussen, 2015. "A fixed count sampling estimator of stem density based on a survival function," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 61(11), pages 485-495.
    3. Sandra M. Mohammed & Damla Şentürk & Lorien S. Dalrymple & Danh V. Nguyen, 2012. "Measurement Error Case Series Models With Application to Infection-Cardiovascular Risk in Older Patients on Dialysis," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(500), pages 1310-1323, December.
    4. Sandip Barui & Grace Y. Yi, 2020. "Semiparametric methods for survival data with measurement error under additive hazards cure rate models," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(3), pages 421-450, July.
    5. Ying Yan & Grace Y. Yi, 2016. "Analysis of error-prone survival data under additive hazards models: measurement error effects and adjustments," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 22(3), pages 321-342, July.
    6. 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.
    7. 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.
    8. Yuanshan Wu & Yanyuan Ma & Guosheng Yin, 2015. "Smoothed and Corrected Score Approach to Censored Quantile Regression With Measurement Errors," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1670-1683, December.
    9. Eil, David & Lien, Jaimie W., 2014. "Staying ahead and getting even: Risk attitudes of experienced poker players," Games and Economic Behavior, Elsevier, vol. 87(C), pages 50-69.

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