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Classification of "cured" individuals in survival analysis: the mixture approach to the diagnostic-prognostic problem

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  • Morbiducci, Marta
  • Nardi, Alessandra
  • Rossi, Carla

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  • Morbiducci, Marta & Nardi, Alessandra & Rossi, Carla, 2003. "Classification of "cured" individuals in survival analysis: the mixture approach to the diagnostic-prognostic problem," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 515-529, January.
    • Handle: RePEc:eee:csdana:v:41:y:2003:i:3-4:p:515-529
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    References listed on IDEAS

    as
    1. Ming‐Hui Chen & Joseph G. Ibrahim, 2001. "Maximum Likelihood Methods for Cure Rate Models with Missing Covariates," Biometrics, The International Biometric Society, vol. 57(1), pages 43-52, March.
    2. Ghitany, M. E. & Maller, R. A. & Zhou, S., 1994. "Exponential Mixture Models with Long-Term Survivors and Covariates," Journal of Multivariate Analysis, Elsevier, vol. 49(2), pages 218-241, May.
    3. Alessandra Nardi & Michael Schemper, 1999. "New Residuals for Cox Regression and Their Application to Outlier Screening," Biometrics, The International Biometric Society, vol. 55(2), pages 523-529, June.
    4. Joseph G. Ibrahim & Ming-Hui Chen & Debajyoti Sinha, 2001. "Bayesian Semiparametric Models for Survival Data with a Cure Fraction," Biometrics, The International Biometric Society, vol. 57(2), pages 383-388, June.
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    Cited by:

    1. Bohning, Dankmar & Seidel, Wilfried, 2003. "Editorial: recent developments in mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 349-357, January.

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