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Journal of the American Statistical Association Volume 100, 2005 - Issue 472
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Primary Article

A Pseudo–Partial Likelihood Method for Semiparametric Survival Regression With Covariate Errors

David M Zucker David M. Zucker is Associate Professor, Department of Statistics, Hebrew University, Mt. Scopus, 91905 Jerusalem, Israel . The author thanks Donna Spiegelman for stimulating his interest in the area and for helpful input. The author also thanks the associate editor and referees for helpful comments leading to substantial improvements in the article. Finally, the author thanks the U.S. National Heart, Lung, and Blood Institute (NHLBI) for providing data from the Framingham Heart Study (FHS), which was conducted and supported by the NHLBI in collaboration with the FHS investigators. The article was not prepared in collaboration with the FHS investigators and does not necessarily reflect the opinions or views of the FHS or the NHLBI.
Pages 1264-1277 | Published online: 01 Jan 2012

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Negera Wakgari Deresa & Ingrid Van Keilegom. (2023) Copula Based Cox Proportional Hazards Models for Dependent Censoring. Journal of the American Statistical Association 0:0, pages 1-11.
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Samiran Sinha & Yanyuan Ma. (2016) Analysis of Proportional Odds Models With Censoring and Errors-in-Covariates. Journal of the American Statistical Association 111:515, pages 1301-1312.
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Liuquan Sun, Xinyuan Song & Xiaoyun Mu. (2012) Regression Analysis for the Additive Hazards Model with Covariate Errors. Communications in Statistics - Theory and Methods 41:11, pages 1911-1932.
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Articles from other publishers (38)

Theresa P. Devasia & Alexander Tsodikov. (2023) Efficiency of the Breslow estimator in semiparametric transformation models. Lifetime Data Analysis.
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Varadan Sevilimedu, Lili Yu & Hani Samawi. (2023) Misclassification simulation extrapolation method for a Weibull accelerated failure time model. Statistical Methods in Medical Research 32:8, pages 1478-1493.
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Yu‐Jen Cheng, Yen‐Chun Liu, Chang‐Yu Tsai & Chiung‐Yu Huang. (2022) Semiparametric estimation of the transformation model by leveraging external aggregate data in the presence of population heterogeneity. Biometrics.
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Zhiqiang Cao & Man Yu Wong. (2022) Approximate profile likelihood estimation for Cox regression with covariate measurement error. Statistics in Medicine 41:5, pages 910-931.
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Grace Y. Yi & Ying Yan. (2021) Estimation and hypothesis testing with error‐contaminated survival data under possibly misspecified measurement error models. Canadian Journal of Statistics 49:3, pages 853-874.
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Zhiqiang Cao & Man Yu Wong. (2021) Moment estimation method of parameters in additive measurement error model. Computer Methods and Programs in Biomedicine 206, pages 106090.
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Baojiang Chen, Ao Yuan & Grace Y. Yi. (2020) Variable selection for proportional hazards models with high‐dimensional covariates subject to measurement error. Canadian Journal of Statistics 49:2, pages 397-420.
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Sarit Agami, David M. Zucker & Donna Spiegelman. (2020) Estimation in the Cox survival regression model with covariate measurement error and a changepoint. Biometrical Journal 62:5, pages 1139-1163.
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Fang Wan, Andrew C. Titman & Thomas F. Jaki. (2019) Subgroup analysis of treatment effects for misclassified biomarkers with time‐to‐event data. Journal of the Royal Statistical Society: Series C (Applied Statistics) 68:5, pages 1447-1463.
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Grace Y. Yi, Ying Yan, Xiaomei Liao & Donna Spiegelman. (2019) Parametric Regression Analysis with Covariate Misclassification in Main Study/Validation Study Designs. The International Journal of Biostatistics 15:1.
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David M. Zucker, Xin Zhou, Xiaomei Liao, Yi Li & Donna Spiegelman. (2019) A modified partial likelihood score method for Cox regression with covariate error under the internal validation design. Biometrics 75:2, pages 414-427.
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Varadan Sevilimedu, Lili Yu, Hani Samawi & Haresh Rochani. (2018) Application of the Misclassification Simulation Extrapolation Procedure to Log-Logistic Accelerated Failure Time Models in Survival Analysis. Journal of Statistical Theory and Practice 13:1.
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Yuxue Jin & Tze Leung Lai. (2016) A new approach to regression analysis of censored competing-risks data. Lifetime Data Analysis 23:4, pages 605-625.
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Grace Y. Yi, Zhijian Chen & Changbao Wu. 2017. Big and Complex Data Analysis. Big and Complex Data Analysis 83 102 .
Grace Y. YiGrace Y. Yi. 2017. Statistical Analysis with Measurement Error or Misclassification. Statistical Analysis with Measurement Error or Misclassification 87 150 .
Torben Martinussen, Klaus K. Holst & Thomas H. Scheike. (2015) Cox regression with missing covariate data using a modified partial likelihood method. Lifetime Data Analysis 22:4, pages 570-588.
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Sehee Kim, Yi Li & Donna Spiegelman. (2014) A semiparametric copula method for Cox models with covariate measurement error. Lifetime Data Analysis 22:1, pages 1-16.
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Frank Eriksson & Thomas Scheike. (2015) Additive gamma frailty models with applications to competing risks in related individuals. Biometrics 71:3, pages 677-686.
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Ying Yan & Grace Y. Yi. (2015) A corrected profile likelihood method for survival data with covariate measurement error under the Cox model. Canadian Journal of Statistics 43:3, pages 454-480.
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Yu-Jen Cheng & Mei-Cheng Wang. (2015) Causal estimation using semiparametric transformation models under prevalent sampling. Biometrics 71:2, pages 302-312.
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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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Samiran SinhaYanyuan Ma. (2014) Semiparametric analysis of linear transformation models with covariate measurement errors. Biometrics 70:1, pages 21-32.
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Michael J Crowther, Paul C Lambert & Keith R Abrams. (2013) Adjusting for measurement error in baseline prognostic biomarkers included in a time-to-event analysis: a joint modelling approach. BMC Medical Research Methodology 13:1.
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Grace Y. Yi & Wenqing He. (2012) Bias analysis and the simulation‐extrapolation method for survival data with covariate measurement error under parametric proportional odds models. Biometrical Journal 54:3, pages 343-360.
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C.-Y. Huang, J. Qin & D. A. Follmann. (2012) A maximum pseudo-profile likelihood estimator for the Cox model under length-biased sampling. Biometrika 99:1, pages 199-210.
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T. Martinussen, T. H. Scheike & D. M. Zucker. (2011) The Aalen additive gamma frailty hazards model. Biometrika 98:4, pages 831-843.
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THOMAS H. SCHEIKE, TORBEN MARTINUSSEN & MEI‐JIE ZHANG. (2010) The Additive Risk Model for Estimation of Effect of Haplotype Match in BMT Studies. Scandinavian Journal of Statistics 38:3, pages 409-423.
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Xiaomei Liao, David M. Zucker, Yi Li & Donna Spiegelman. (2011) Survival Analysis with Error-Prone Time-Varying Covariates: A Risk Set Calibration Approach. Biometrics 67:1, pages 50-58.
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Thomas H. Scheike, Torben Martinussen & Jeremy D. Silver. (2010) Estimating Haplotype Effects for Survival Data. Biometrics 66:3, pages 705-715.
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Chi-Chung Wen. (2009) Semiparametric maximum likelihood estimation in Cox proportional hazards model with covariate measurement errors. Metrika 72:2, pages 199-217.
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Yi-Hau Chen & David M. Zucker. (2009) Case-cohort analysis with semiparametric transformation models. Journal of Statistical Planning and Inference 139:10, pages 3706-3717.
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Y.-H. Chen. (2009) Weighted Breslow-type and maximum likelihood estimation in semiparametric transformation models. Biometrika 96:3, pages 591-600.
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Malka Gorfine, David M. Zucker & Li Hsu. (2009) Case-control survival analysis with a general semiparametric shared frailty model: A pseudo full likelihood approach. The Annals of Statistics 37:3.
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David M. Zucker, Malka Gorfine & Li Hsu. (2008) Pseudo-full likelihood estimation for prospective survival analysis with a general semiparametric shared frailty model: Asymptotic theory. Journal of Statistical Planning and Inference 138:7, pages 1998-2016.
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David M. Zucker & Donna Spiegelman. (2008) Corrected score estimation in the proportional hazards model with misclassified discrete covariates. Statistics in Medicine 27:11, pages 1911-1933.
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David M. Zucker & Donna Spiegelman. 2008. Statistical Models and Methods for Biomedical and Technical Systems. Statistical Models and Methods for Biomedical and Technical Systems 23 32 .

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