IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v137y2015icp10-12.html
   My bibliography  Save this article

A new nonparametric quantile estimate for length-biased data with competing risks

Author

Listed:
  • Zhang, Feipeng
  • Tan, Zhong

Abstract

The paper aims to propose a new nonparametric quantile estimate for length-biased data with competing risks. A new EM-algorithm for directly estimating nonparametric cumulative incidence function of competing risks is presented. The good performance of the proposed estimator is investigated through simulation studies. A real data example is also provided.

Suggested Citation

  • Zhang, Feipeng & Tan, Zhong, 2015. "A new nonparametric quantile estimate for length-biased data with competing risks," Economics Letters, Elsevier, vol. 137(C), pages 10-12.
    • Handle: RePEc:eee:ecolet:v:137:y:2015:i:c:p:10-12
    DOI: 10.1016/j.econlet.2015.10.023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176515004255
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2015.10.023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Dauxois, Jean-Yves & Guilloux, Agathe, 2008. "Nonparametric inference under competing risks and selection-biased sampling," Journal of Multivariate Analysis, Elsevier, vol. 99(4), pages 589-605, April.
    2. Lancaster,Tony, 1992. "The Econometric Analysis of Transition Data," Cambridge Books, Cambridge University Press, number 9780521437899, October.
    3. L. Peng & J. P. Fine, 2007. "Nonparametric quantile inference with competing–risks data," Biometrika, Biometrika Trust, vol. 94(3), pages 735-744.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shi, Jianhua & Ma, Huijuan & Zhou, Yong, 2018. "The nonparametric quantile estimation for length-biased and right-censored data," Statistics & Probability Letters, Elsevier, vol. 134(C), pages 150-158.
    2. Zhang, Feipeng & Yang, Jiejing & Ye, Min, 2020. "A nonparametric maximum likelihood estimation for biased-sampling data with zero-inflated truncation," Economics Letters, Elsevier, vol. 194(C).

    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. Elsa Morais Sarmento & Alcina Nunes, 2011. "Survival dynamics in Portugal, a regional perspective," ERSA conference papers ersa10p1313, European Regional Science Association.
    2. Matteo Picchio & Stefano Staffolani, 2019. "Does apprenticeship improve job opportunities? A regression discontinuity approach," Empirical Economics, Springer, vol. 56(1), pages 23-60, January.
    3. Gerard J. van den Berg & Bettina Drepper, 2016. "Inference for Shared-Frailty Survival Models with Left-Truncated Data," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 1075-1098, June.
    4. Richard Layte & Tim Callan, 2001. "Unemployment, Welfare Benefits and the Financial Incentive to Work," The Economic and Social Review, Economic and Social Studies, vol. 32(2), pages 103-129.
    5. P. Sankaran & N. Midhu, 2016. "Testing exponentiality using mean residual quantile function," Statistical Papers, Springer, vol. 57(1), pages 235-247, March.
    6. Marc F. Bellemare & Lindsey Novak, 2017. "Contract Farming and Food Security," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(2), pages 357-378.
    7. Stephen Ziliak, 2002. "Pauper Fiction in Economic Science: "Paupers in Almshouses" and the Odd Fit of Oliver Twist," Review of Social Economy, Taylor & Francis Journals, vol. 60(2), pages 159-181.
    8. Cynthia Kroll & Diana Lee & Nadir Shams, 2010. "The Dot-Com Boom and Bust in the Context of Regional and Sectoral Changes," Industry and Innovation, Taylor & Francis Journals, vol. 17(1), pages 49-69.
    9. Dixon, Huw David, 2009. "A unified framework for understanding and comparing dynamic wage and price setting models," Cardiff Economics Working Papers E2009/20, Cardiff University, Cardiff Business School, Economics Section.
    10. Peng Liu & Yixin Wang & Yong Zhou, 2015. "Quantile residual lifetime with right-censored and length-biased data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(5), pages 999-1028, October.
    11. Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2015. "Business Training Allocation and Credit Scoring: Theory and Evidence from Microcredit in France," Working Papers CEB 15-030, ULB -- Universite Libre de Bruxelles.
    12. Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2022. "Business Training with a Better-Informed Lender: Theory and Evidence from Microcredit in France," Annals of Economics and Statistics, GENES, issue 148, pages 65-108.
    13. Steve Bradley & Giuseppe Migali, 2015. "The Effect of a Tuition Fee Reform on the Risk of Drop Out from University in the UK," Working Papers 86010138, Lancaster University Management School, Economics Department.
    14. Hattam, Caroline & Holloway, Garth J., 2007. "Bayes Estimates of Time to Organic Certification," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7979, Agricultural Economics Society.
    15. Mário Centeno & Álvaro Novo, 2009. "Reemployment wages and UI liquidity effect: a regression discontinuity approach," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 8(1), pages 45-52, April.
    16. Ferreira, Priscila, 2009. "The determinants of promotions and firm separations," ISER Working Paper Series 2009-11, Institute for Social and Economic Research.
    17. José Mata & Claudia Alves, 2018. "The survival of firms founded by immigrants: Institutional distance between home and host country, and experience in the host country," Strategic Management Journal, Wiley Blackwell, vol. 39(11), pages 2965-2991, November.
    18. Soni, Pooja & Dewan, Isha & Jain, Kanchan, 2012. "Nonparametric estimation of quantile density function," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 3876-3886.
    19. Canales Medina, Elizabeth & Bergtold, Jason S. & Williams, Jeffery R., 2017. "Modeling the factors affecting farmers’ timing of adoption of in-field conservation cropping practices," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258558, Agricultural and Applied Economics Association.
    20. Chesneau, Christophe & Dewan, Isha & Doosti, Hassan, 2016. "Nonparametric estimation of a quantile density function by wavelet methods," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 161-174.

    More about this item

    Keywords

    Competing risks; Quantile; EM algorithm; Length-biased data;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:ecolet:v:137:y:2015:i:c:p:10-12. 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/ecolet .

    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.