IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v66y2010i2p382-392.html
   My bibliography  Save this article

Statistical Methods for Analyzing Right-Censored Length-Biased Data under Cox Model

Author

Listed:
  • Jing Qin
  • Yu Shen

Abstract

No abstract is available for this item.

Suggested Citation

  • Jing Qin & Yu Shen, 2010. "Statistical Methods for Analyzing Right-Censored Length-Biased Data under Cox Model," Biometrics, The International Biometric Society, vol. 66(2), pages 382-392, June.
    • Handle: RePEc:bla:biomet:v:66:y:2010:i:2:p:382-392
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2009.01287.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Bergeron, Pierre-Jerome & Asgharian, Masoud & Wolfson, David B., 2008. "Covariate Bias Induced by Length-Biased Sampling of Failure Times," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 737-742, June.
    2. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-956, July.
    3. Debashis Ghosh, 2008. "Proportional Hazards Regression for Cancer Studies," Biometrics, The International Biometric Society, vol. 64(1), pages 141-148, March.
    4. Shen, Yu & Ning, Jing & Qin, Jing, 2009. "Analyzing Length-Biased Data With Semiparametric Transformation and Accelerated Failure Time Models," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 1192-1202.
    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. Yu Shen & Jing Ning & Jing Qin, 2017. "Nonparametric and semiparametric regression estimation for length-biased survival data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(1), pages 3-24, January.
    2. Jieli Ding & Tsui-Shan Lu & Jianwen Cai & Haibo Zhou, 2017. "Recent progresses in outcome-dependent sampling with failure time data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(1), pages 57-82, January.
    3. Chi Hyun Lee & Jing Ning & Yu Shen, 2019. "Model diagnostics for the proportional hazards model with length-biased data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(1), pages 79-96, January.
    4. Kwun Chuen Gary Chan & Mei-Cheng Wang, 2012. "Estimating Incident Population Distribution from Prevalent Data," Biometrics, The International Biometric Society, vol. 68(2), pages 521-531, June.
    5. Yu-Jen Cheng & Mei-Cheng Wang, 2012. "Estimating Propensity Scores and Causal Survival Functions Using Prevalent Survival Data," Biometrics, The International Biometric Society, vol. 68(3), pages 707-716, September.
    6. Micha Mandel & Ya'akov Ritov, 2010. "The Accelerated Failure Time Model Under Biased Sampling," Biometrics, The International Biometric Society, vol. 66(4), pages 1306-1308, December.
    7. Yu-Jen Cheng & Chiung-Yu Huang, 2014. "Combined estimating equation approaches for semiparametric transformation models with length-biased survival data," Biometrics, The International Biometric Society, vol. 70(3), pages 608-618, September.
    8. Ertefaie Ashkan & Asgharian Masoud & Stephens David A., 2015. "Double Bias: Estimation of Causal Effects from Length-Biased Samples in the Presence of Confounding," The International Journal of Biostatistics, De Gruyter, vol. 11(1), pages 69-89, May.
    9. Jing Ning & Jing Qin & Yu Shen, 2010. "Non‐parametric tests for right‐censored data with biased sampling," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(5), pages 609-630, November.
    10. Jin Piao & Jing Ning & Yu Shen, 2019. "Semiparametric model for bivariate survival data subject to biased sampling," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 81(2), pages 409-429, April.
    11. David E. Giles, 2021. "Improved Maximum Likelihood Estimation for the Weibull Distribution Under Length-Biased Sampling," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 59-77, December.
    12. Aguilar, Mª. Isabel & Díaz, Bárbara, 2019. "Length of stay of international tourists in Spain: A parametric survival analysis," Annals of Tourism Research, Elsevier, vol. 79(C).
    13. Charles Baum, 2002. "A dynamic analysis of the effect of child care costs on the work decisions of low-income mothers with infants," Demography, Springer;Population Association of America (PAA), vol. 39(1), pages 139-164, February.
    14. Christophe Chesneau & Isha Dewan & Hassan Doosti, 2012. "Wavelet linear density estimation for associated stratified size-biased sample," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(2), pages 429-445.
    15. Castro, Rui & Lange, Fabian & Poschke, Markus, 2024. "Labour force transitions," CLEF Working Paper Series 78, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    16. Kalwij, Adriaan, 2001. "Individuals' Unemployment Experiences: Heterogeneity and Business Cycle Effects," IZA Discussion Papers 370, Institute of Labor Economics (IZA).
    17. Cécile BATISSE & Nong ZHU, 2009. "L’effet des politiques sociales sur l’emploi des nouveaux immigrants à Montréal :une analyse longitudinale et conjoncturelle," Working Papers 200925, CERDI.
    18. Guiso, Luigi & Jappelli, Tullio, 2002. "Private Transfers, Borrowing Constraints and the Timing of Homeownership," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 315-339, May.
    19. Francisco Perez-Bermejo & Simon Sosvilla-Rivero & Reyes Maroto-Illera, 2007. "An eclectic approach to currency crises: drawing lessons from the EMS experience," Applied Financial Economics, Taylor & Francis Journals, vol. 18(6), pages 503-519.
    20. Kai Hong & Peter A. Savelyev & Kegon T. K. Tan, 2020. "Understanding the Mechanisms Linking College Education with Longevity," Journal of Human Capital, University of Chicago Press, vol. 14(3), pages 371-400.

    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:bla:biomet:v:66:y:2010:i:2:p:382-392. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    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.