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New Residuals for Cox Regression and Their Application to Outlier Screening

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  • Alessandra Nardi
  • Michael Schemper

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Suggested Citation

  • 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.
  • Handle: RePEc:bla:biomet:v:55:y:1999:i:2:p:523-529
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.1999.00523.x
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    Cited by:

    1. 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.
    2. Farcomeni, Alessio & Nardi, Alessandra, 2010. "A two-component Weibull mixture to model early and late mortality in a Bayesian framework," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 416-428, February.
    3. Durdu Karasoy & Nuray Tuncer, 2015. "Outliers in Survival Analysis," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(2), pages 139-152, December.
    4. Elena Fabrizi & Alessio Farcomeni & Valerio Gatta, 2012. "Modelling work history patterns in the Italian labour market," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(2), pages 227-247, June.
    5. Sanjoy K. Sinha, 2019. "Robust estimation in accelerated failure time models," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(1), pages 52-78, January.
    6. Nuriye Sancar & Deniz Inan, 2018. "A novel method as a diagnostic tool for the detection of influential observations in the Cox proportional hazards model," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 1253-1266, December.

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