IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v61y2005i3p729-737.html
   My bibliography  Save this article

A Semiparametric Mixture Model for Analyzing Clustered Competing Risks Data

Author

Listed:
  • Malay Naskar
  • Kalyan Das
  • Joseph G. Ibrahim

Abstract

No abstract is available for this item.

Suggested Citation

  • Malay Naskar & Kalyan Das & Joseph G. Ibrahim, 2005. "A Semiparametric Mixture Model for Analyzing Clustered Competing Risks Data," Biometrics, The International Biometric Society, vol. 61(3), pages 729-737, September.
    • Handle: RePEc:bla:biomet:v:61:y:2005:i:3:p:729-737
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00341.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. Jaap H. Abbring & Gerard J. Van Den Berg, 2003. "The identifiability of the mixed proportional hazards competing risks model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(3), pages 701-710, August.
    2. Ian W. McKeague & Peter B. Gilbert & Phyllis J. Kanki, 2001. "Omnibus Tests for Comparison of Competing Risks with Adjustment for Covariate Effects," Biometrics, The International Biometric Society, vol. 57(3), pages 818-828, September.
    3. Amy H. Herring & Joseph G. Ibrahim & Stuart R. Lipsitz, 2002. "Frailty Models with Missing Covariates," Biometrics, The International Biometric Society, vol. 58(1), pages 98-109, March.
    4. S. W. Lagakos, 1978. "A Covariate Model for Partially Censored Data Subject to Competing Causes of Failure," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 27(3), pages 235-241, November.
    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. Yushu Shi & Purushottam Laud & Joan Neuner, 2021. "A dependent Dirichlet process model for survival data with competing risks," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 27(1), pages 156-176, January.
    2. Angelica Hernandez-Quintero & Jean-François Dupuy & Gabriel Escarela, 2011. "Analysis of a semiparametric mixture model for competing risks," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 63(2), pages 305-329, April.

    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. Bruce Headey & Ruud Muffels, 2016. "Towards a Theory of Life Satisfaction: Accounting for Stability, Change and Volatility in 25-Year Life Trajectories in Germany," SOEPpapers on Multidisciplinary Panel Data Research 864, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Sokbae Lee, 2006. "Identification of a competing risks model with unknown transformations of latent failure times," Biometrika, Biometrika Trust, vol. 93(4), pages 996-1002, December.
    3. García-Pérez, J. Ignacio & Jiménez-Martín, Sergi & Sánchez-Martín, Alfonso R., 2013. "Retirement incentives, individual heterogeneity and labor transitions of employed and unemployed workers," Labour Economics, Elsevier, vol. 20(C), pages 106-120.
    4. Elena Casquel & Antoni Cunyat, "undated". "The Welfare Cost of Business Cycles in an Economy with Nonclearing Markets," Working Papers 2005-19, FEDEA.
    5. D’Haultfœuille, Xavier & Maurel, Arnaud, 2013. "Inference on an extended Roy model, with an application to schooling decisions in France," Journal of Econometrics, Elsevier, vol. 174(2), pages 95-106.
    6. Mogens Fosgerau & Dennis Kristensen, 2021. "Identification of a class of index models: A topological approach," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 121-133.
    7. Albanese, Andrea & Picchio, Matteo & Ghirelli, Corinna, 2020. "Timed to Say Goodbye: Does Unemployment Benefit Eligibility Affect Worker Layoffs?," Labour Economics, Elsevier, vol. 65(C).
    8. Bonev, Petyo, 2020. "Nonparametric identification in nonseparable duration models with unobserved heterogeneity," Economics Working Paper Series 2005, University of St. Gallen, School of Economics and Political Science.
    9. Knut Røed & Elisabeth Fevang, 2007. "Organizational Change, Absenteeism, and Welfare Dependency," Journal of Human Resources, University of Wisconsin Press, vol. 42(1).
    10. Gaure, Simen & Roed, Knut & Zhang, Tao, 2007. "Time and causality: A Monte Carlo assessment of the timing-of-events approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1159-1195, December.
    11. Arntz, Melanie & Lo, Simon M. S. & Wilke, Ralf A., 2008. "Bounds analysis of competing risks : a nonparametric evaluation of the effect of unemployment benefits on migration in Germany (Revised version of the FDZ Methodenbericht No. 04/2007)," FDZ Methodenreport 200806_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. Bart Cockx & Matteo Picchio, 2013. "Scarring effects of remaining unemployed for long-term unemployed school-leavers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(4), pages 951-980, October.
    13. Vera Brenčič, 2010. "Do Employers Respond to the Costs of Continued Search?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(2), pages 221-245, April.
    14. Ran Deng & Shermineh Haghani, 2017. "FHA Loans in Foreclosure Proceedings: Distinguishing Sources of Interdependence in Competing Risks," JRFM, MDPI, vol. 11(1), pages 1-15, December.
    15. Drepper, Bettina & Effraimidis, Georgios, 2016. "Identification of the timing-of-events model with multiple competing exit risks from single-spell data," Economics Letters, Elsevier, vol. 147(C), pages 124-126.
    16. Chen, Ming-Hui & Ibrahim, Joseph G. & Shao, Qi-Man, 2009. "Maximum likelihood inference for the Cox regression model with applications to missing covariates," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 2018-2030, October.
    17. Gourieroux, Christian & Lu, Yang, 2015. "Love and death: A Freund model with frailty," Insurance: Mathematics and Economics, Elsevier, vol. 63(C), pages 191-203.
    18. Bridges, Sarah & Gaggero, Alessio & Owens, Trudy, 2018. "Labour market and intra-household dynamics in urban Tanzania," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 13(2), June.
    19. Amit Gandhi & Jeremy T. Fox, 2009. "Identifying Heterogeneity in Economic Choice and Selection Models Using Mixtures," 2009 Meeting Papers 165, Society for Economic Dynamics.
    20. Lee, Myoung-jae & Johansson, Per, 2013. "A Simple Approach to Treatment Effects on Durations When the Treatment Timing is Chosen," IZA Discussion Papers 7249, Institute of Labor Economics (IZA).

    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:61:y:2005:i:3:p:729-737. 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.