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A flexible model for survival data with a cure rate: a Bayesian approach

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Author Info

  • Vicente Cancho
  • Josemar Rodrigues
  • Mario de Castro
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    Abstract

    In this paper we deal with a Bayesian analysis for right-censored survival data suitable for populations with a cure rate. We consider a cure rate model based on the negative binomial distribution, encompassing as a special case the promotion time cure model. Bayesian analysis is based on Markov chain Monte Carlo (MCMC) methods. We also present some discussion on model selection and an illustration with a real data�set.

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    File URL: http://www.tandfonline.com/doi/abs/10.1080/02664760903254052
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    Bibliographic Info

    Article provided by Taylor and Francis Journals in its journal Journal of Applied Statistics.

    Volume (Year): 38 (2011)
    Issue (Month): 1 ()
    Pages: 57-70

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    Handle: RePEc:taf:japsta:v:38:y:2011:i:1:p:57-70

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    Related research

    Keywords: survival analysis; cure rate models; long-term survival models; negative binomial distribution; Bayesian analysis; piecewise exponential distribution; Weibull distribution;

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