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Nonparametric Estimation of the Joint Distribution of a Survival Time Subject to Interval Censoring and a Continuous Mark Variable

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  • Michael G. Hudgens
  • Marloes H. Maathuis
  • Peter B. Gilbert

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  • Michael G. Hudgens & Marloes H. Maathuis & Peter B. Gilbert, 2007. "Nonparametric Estimation of the Joint Distribution of a Survival Time Subject to Interval Censoring and a Continuous Mark Variable," Biometrics, The International Biometric Society, vol. 63(2), pages 372-380, June.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:2:p:372-380
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2006.00709.x
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    References listed on IDEAS

    as
    1. Anton Schick & Qiqing Yu, 2000. "Consistency of the GMLE with Mixed Case Interval‐Censored Data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 27(1), pages 45-55, March.
    2. Michael G. Hudgens & Glen A. Satten & Ira M. Longini, 2001. "Nonparametric Maximum Likelihood Estimation for Competing Risks Survival Data Subject to Interval Censoring and Truncation," Biometrics, The International Biometric Society, vol. 57(1), pages 74-80, March.
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    Cited by:

    1. Piet Groeneboom & Geurt Jongbloed & Birgit Witte, 2012. "A maximum smoothed likelihood estimator in the current status continuous mark model," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(1), pages 85-101.
    2. Geurt Jongbloed & Frank H. van der Meulen & Lixue Pang, 2022. "Bayesian nonparametric estimation in the current status continuous mark model," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(3), pages 1329-1352, September.

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