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Regional variation in relative survival—quantifying the effects of the competing risks of death by using a cure fraction model with random effects

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  • Karri Seppä
  • Timo Hakulinen
  • Esa Läärä

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  • Karri Seppä & Timo Hakulinen & Esa Läärä, 2014. "Regional variation in relative survival—quantifying the effects of the competing risks of death by using a cure fraction model with random effects," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 63(1), pages 175-190, January.
    • Handle: RePEc:bla:jorssc:v:63:y:2014:i:1:p:175-190
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    File URL: http://hdl.handle.net/10.1111/rssc.12034
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    References listed on IDEAS

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    1. David I. Ohlssen & Linda D. Sharples & David J. Spiegelhalter, 2007. "A hierarchical modelling framework for identifying unusual performance in health care providers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 865-890, October.
    2. P. C. Lambert & P. W. Dickman & C. L. Weston & J. R. Thompson, 2010. "Estimating the cure fraction in population‐based cancer studies by using finite mixture models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(1), pages 35-55, January.
    3. Sudipto Banerjee & Bradley P. Carlin, 2004. "Parametric Spatial Cure Rate Models for Interval-Censored Time-to-Relapse Data," Biometrics, The International Biometric Society, vol. 60(1), pages 268-275, March.
    4. Marc Saez & Maria Antònia Barceló & Carmen Martos & Carme Saurina & Rafael Marcos‐Gragera & Gemma Renart & Ricardo Ocaña‐Riola & Cristina Feja & Tomás Alcalá, 2012. "Spatial variability in relative survival from female breast cancer," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(1), pages 107-134, January.
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