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Additive Risk Models for Survival Data with High-Dimensional Covariates

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  • Shuangge Ma
  • Michael R. Kosorok
  • Jason P. Fine

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  • Shuangge Ma & Michael R. Kosorok & Jason P. Fine, 2006. "Additive Risk Models for Survival Data with High-Dimensional Covariates," Biometrics, The International Biometric Society, vol. 62(1), pages 202-210, March.
    • Handle: RePEc:bla:biomet:v:62:y:2006:i:1:p:202-210
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00405.x
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    References listed on IDEAS

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    1. Mason, Robert L. & Gunst, Richard F., 1985. "Selecting principal components in regression," Statistics & Probability Letters, Elsevier, vol. 3(6), pages 299-301, October.
    2. Margaret Pepe & Tianxi Cai & Zheng Zhang, 2004. "Combining Predictors for Classification Using the Area Under the ROC Curve," UW Biostatistics Working Paper Series 1021, Berkeley Electronic Press.
    3. Jie Huang & David Harrington, 2002. "Penalized Partial Likelihood Regression for Right-Censored Data with Bootstrap Selection of the Penalty Parameter," Biometrics, The International Biometric Society, vol. 58(4), pages 781-791, December.
    4. Fan J. & Li R., 2001. "Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1348-1360, December.
    5. Kollo, T. & Neudecker, H., 1993. "Asymptotics of Eigenvalues and Unit-Length Eigenvectors of Sample Variance and Correlation Matrices," Journal of Multivariate Analysis, Elsevier, vol. 47(2), pages 283-300, November.
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    Cited by:

    1. Torben Martinussen & Thomas H. Scheike, 2009. "Covariate Selection for the Semiparametric Additive Risk Model," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 36(4), pages 602-619, December.
    2. Sijian Wang & Bin Nan & Ji Zhu & David G. Beer, 2008. "Doubly Penalized Buckley–James Method for Survival Data with High-Dimensional Covariates," Biometrics, The International Biometric Society, vol. 64(1), pages 132-140, March.
    3. Li Liu & Hao Wang & Yanyan Liu & Jian Huang, 2021. "Model pursuit and variable selection in the additive accelerated failure time model," Statistical Papers, Springer, vol. 62(6), pages 2627-2659, December.
    4. Qu, Lianqiang & Song, Xinyuan & Sun, Liuquan, 2018. "Identification of local sparsity and variable selection for varying coefficient additive hazards models," Computational Statistics & Data Analysis, Elsevier, vol. 125(C), pages 119-135.

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