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Dynamic Analysis of Multivariate Failure Time Data

Author

Listed:
  • Odd O. Aalen
  • Johan Fosen
  • Harald Weedon-Fekjær
  • Ørnulf Borgan
  • Einar Husebye

Abstract

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Suggested Citation

  • Odd O. Aalen & Johan Fosen & Harald Weedon-Fekjær & Ørnulf Borgan & Einar Husebye, 2004. "Dynamic Analysis of Multivariate Failure Time Data," Biometrics, The International Biometric Society, vol. 60(3), pages 764-773, September.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:3:p:764-773
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00227.x
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    References listed on IDEAS

    as
    1. Heckman, James J., 2000. "Microdata, Heterogeneity and the Evaluation of Public Policy," Nobel Prize in Economics documents 2000-4, Nobel Prize Committee.
    2. Niels Keiding & Per Kragh Andersen, 1989. "Nonparametric Estimation of Transition Intensities and Transition Probabilities: A Case Study of a Two‐State Markov Process," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 38(2), pages 319-329, June.
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    Cited by:

    1. Simon J. Bond & Vernon T. Farewell, 2009. "Likelihood estimation for a longitudinal negative binomial regression model with missing outcomes," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(3), pages 369-382, July.
    2. Chuoxin Ma & Jianxin Pan, 2022. "Multistate analysis of multitype recurrent event and failure time data with event feedbacks in biomarkers," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(2), pages 864-885, June.
    3. Swihart, Bruce J. & Punjabi, Naresh M. & Crainiceanu, Ciprian M., 2015. "Modeling sleep fragmentation in sleep hypnograms: An instance of fast, scalable discrete-state, discrete-time analyses," Computational Statistics & Data Analysis, Elsevier, vol. 89(C), pages 1-11.
    4. Biagini, Francesca & Groll, Andreas & Widenmann, Jan, 2013. "Intensity-based premium evaluation for unemployment insurance products," Insurance: Mathematics and Economics, Elsevier, vol. 53(1), pages 302-316.
    5. Janez Stare & Maja Pohar Perme & Robin Henderson, 2011. "A Measure of Explained Variation for Event History Data," Biometrics, The International Biometric Society, vol. 67(3), pages 750-759, September.
    6. Zappa, Paola & Vu, Duy Q., 2021. "Markets as networks evolving step by step: Relational Event Models for the interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    7. Boruvka, Audrey & Takahara, Glen & Tu, Dongsheng, 2016. "Data-driven ridge regression for Aalen’s additive risk model," Statistics & Probability Letters, Elsevier, vol. 109(C), pages 189-193.
    8. Per Kragh Andersen & Jules Angst & Henrik Ravn, 2019. "Modeling marginal features in studies of recurrent events in the presence of a terminal event," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(4), pages 681-695, October.

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