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Likelihood for interval-censored observations from multi-state models

  • Autores: Daniel Commenges Árbol académico
  • Localización: Sort: Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 27, Nº. 1, 2003, págs. 1-12
  • Idioma: inglés
  • Títulos paralelos:
    • Verosimilitud para observaciones censuradas por intervalos en modelos multiestado.
  • Enlaces
  • Resumen
    • We consider the mixed dicrete-continuous pattern of observation in a multi-state model; this is a classical pattern because very often clinical status is assessed at discrete visit times while time of death is observed exactly. The likelihood can easily be written heuristically for such models. However a formal proof is not easy in such observational patterns. We give a rigorous derivation al the likelihood for the illness-death model based on applying Jacod¿s formula to an observed bivariate counting process.

  • Referencias bibliográficas
    • Andersen, P.K., Borgan Ø., Gill, R.D. and Keiding, N. (1993). Statistical Models Based on Counting Processes. New-York: Springer-Verlag.
    • Commenges, D. (2002). Inference for multi-state models from interval-censored data. Statistical Methods in Medical Research, 11, 167-182.
    • Frydman, H. (1995). Non-parametric estimation of a Markov “illness-death model” process from intervalcensored observations, with application...
    • Jacod, J. (1975). Multivariate point processes: predictable projection; Radon-Nikodym derivative, representation of martingales. Z. Wahrsheinlichkeitsth,...
    • Joly, P. and Commenges, D. (1999). A penalized likelihood approach for a progressive three-state model with censored and truncated data: Application...
    • Joly, P., Commenges, D., Helmer, C. and Letenneur, L. (2002). A penalized likelihood appproach for an illness-death model with interval-censored...
    • Turnbull, B.W. (1976). The empirical distribution function with arbitrarily grouped, censored and truncated data. Journal of the Royal Statistical...

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