IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v50y2006i12p3629-3643.html
   My bibliography  Save this article

Empirical and kernel estimation of covariate distribution conditional on survival time

Author

Listed:
  • Li, Xiaochun
  • Xu, Ronghui

Abstract

No abstract is available for this item.

Suggested Citation

  • Li, Xiaochun & Xu, Ronghui, 2006. "Empirical and kernel estimation of covariate distribution conditional on survival time," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3629-3643, August.
  • Handle: RePEc:eee:csdana:v:50:y:2006:i:12:p:3629-3643
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(05)00171-4
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ronghui Xu & Sudeshna Adak, 2002. "Survival Analysis with Time-Varying Regression Effects Using a Tree-Based Approach," Biometrics, The International Biometric Society, vol. 58(2), pages 305-315, June.
    2. Ronghui Xu & John O'Quigley, 2000. "Proportional hazards estimate of the conditional survival function," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(4), pages 667-680.
    3. Xiaochun Li & Ronghui Xu, 2004. "Empirical and Kernel Estimation of Covariate Distribution Conditional on Survival Time," Harvard University Biostatistics Working Paper Series 1011, Berkeley Electronic Press.
    4. L. Tian & W. Wang & L. J. Wei, 2003. "Estimating Predictors for Long- or Short-Term Survivors," Biometrics, The International Biometric Society, vol. 59(4), pages 1008-1015, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiaochun Li & Ronghui Xu, 2004. "Empirical and Kernel Estimation of Covariate Distribution Conditional on Survival Time," Harvard University Biostatistics Working Paper Series 1011, Berkeley Electronic Press.
    2. Patrick Heagerty & Yingye Zheng, 2004. "Survival Model Predictive Accuracy and ROC Curves," UW Biostatistics Working Paper Series 1051, Berkeley Electronic Press.
    3. Kauermann, Goran & Xu, Ronghui & Vaida, Florin, 2008. "Stacked Laplace-EM algorithm for duration models with time-varying and random effects," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2514-2528, January.
    4. Shiyuan Chen & Sally Wallace, 2008. "Determinants of Education Duration in Jamaica," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0803, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    5. Marie-Therese Puth & Gerhard Tutz & Nils Heim & Eva Münster & Matthias Schmid & Moritz Berger, 2020. "Tree-based modeling of time-varying coefficients in discrete time-to-event models," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(3), pages 545-572, July.
    6. P. Saha & P. J. Heagerty, 2010. "Time-Dependent Predictive Accuracy in the Presence of Competing Risks," Biometrics, The International Biometric Society, vol. 66(4), pages 999-1011, December.
    7. Patrick J. Heagerty & Yingye Zheng, 2005. "Survival Model Predictive Accuracy and ROC Curves," Biometrics, The International Biometric Society, vol. 61(1), pages 92-105, March.
    8. van Geloven, N. & He, Y. & Zwinderman, A.H. & Putter, H., 2021. "Estimation of incident dynamic AUC in practice," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    9. Sean M. Devlin & Mithat Gönen & Glenn Heller, 2020. "Measuring the temporal prognostic utility of a baseline risk score," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(4), pages 856-871, October.
    10. Wei Zhao & Ying Qing Chen & Li Hsu, 2017. "On estimation of time-dependent attributable fraction from population-based case-control studies," Biometrics, The International Biometric Society, vol. 73(3), pages 866-875, September.
    11. Youyi Fong & Chongzhi Di & Ying Huang & Peter B. Gilbert, 2017. "Model-robust inference for continuous threshold regression models," Biometrics, The International Biometric Society, vol. 73(2), pages 452-462, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:csdana:v:50:y:2006:i:12:p:3629-3643. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.