An accelerated failure time mixture cure model with masked event.

نویسندگان

  • Jenny J Zhang
  • Molin Wang
چکیده

We extend the Dahlberg and Wang (Biometrics 2007, 63, 1237-1244) proportional hazards (PH) cure model for the analysis of time-to-event data that is subject to a cure rate with masked event to a setting where the PH assumption does not hold. Assuming an accelerated failure time (AFT) model with unspecified error distribution for the time to the event of interest, we propose rank-based estimating equations for the model parameters and use a generalization of the EM algorithm for parameter estimation. Applying our proposed AFT model to the same motivating breast cancer dataset as Dahlberg and Wang (Biometrics 2007, 63, 1237-1244), our results are more intuitive for the treatment arm in which the PH assumption may be violated. We also conduct a simulation study to evaluate the performance of the proposed method.

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عنوان ژورنال:
  • Biometrical journal. Biometrische Zeitschrift

دوره 51 6  شماره 

صفحات  -

تاریخ انتشار 2009