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A general class of time-varying coefficients models for right censored data

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  • Legrand, Catherine
  • Munda, Marco
  • Janssen, P.
  • Duchateau, L.

Abstract

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Suggested Citation

  • Legrand, Catherine & Munda, Marco & Janssen, P. & Duchateau, L., 2012. "A general class of time-varying coefficients models for right censored data," LIDAM Discussion Papers ISBA 2012041, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Handle: RePEc:aiz:louvad:2012041
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    References listed on IDEAS

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    1. de Leeuw, Jan & Hornik, Kurt & Mair, Patrick, 2009. "Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i05).
    2. Teodorescu, B. & Van Keilegom, I., 2010. "A goodness-of-fit test for generalised conditional linear models under left truncation and right censoring," LIDAM Reprints ISBA 2010019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Bianca Teodorescu & Ingrid Van Keilegom, 2010. "A goodness-of-fit test for generalised conditional linear models under left truncation and right censoring," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 22(5), pages 547-566.
    4. M. Iglesias Pérez & W. González Manteiga, 2003. "Bootstrap for the conditional distribution function with truncated and censored data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 55(2), pages 331-357, June.
    5. Bianca Teodorescu & Ingrid Keilegom & Ricardo Cao, 2010. "Generalized time-dependent conditional linear models under left truncation and right censoring," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(3), pages 465-485, June.
    6. Teodorescu, B. & Van Keilegom, I. & Cao, R., 2010. "Generalized time-dependent conditional linear models under left truncation and right censoring," LIDAM Reprints ISBA 2010014, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. Keilegom, Ingrid Van & Akritas, Michael G. & Veraverbeke, Noel, 2001. "Estimation of the conditional distribution in regression with censored data: a comparative study," Computational Statistics & Data Analysis, Elsevier, vol. 35(4), pages 487-500, February.
    8. Varadhan, Ravi & Gilbert, Paul, 2009. "BB: An R Package for Solving a Large System of Nonlinear Equations and for Optimizing a High-Dimensional Nonlinear Objective Function," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i04).
    9. Goele Massonnet & Paul Janssen & Tomasz Burzykowski, 2008. "Fitting Conditional Survival Models to Meta‐Analytic Data by Using a Transformation Toward Mixed‐Effects Models," Biometrics, The International Biometric Society, vol. 64(3), pages 834-842, September.
    10. Torben Martinussen & Thomas H. Scheike, 2009. "Covariate Selection for the Semiparametric Additive Risk Model," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 36(4), pages 602-619, December.
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