A New Semiparametric Estimation Method for Accelerated Hazard Model
Article first published online: 2 APR 2011
© 2011, The International Biometric Society
Volume 67, Issue 4, pages 1352–1360, December 2011
How to Cite
Zhang, J., Peng, Y. and Zhao, O. (2011), A New Semiparametric Estimation Method for Accelerated Hazard Model. Biometrics, 67: 1352–1360. doi: 10.1111/j.1541-0420.2011.01592.x
- Issue published online: 14 DEC 2011
- Article first published online: 2 APR 2011
- Received July 2010. Revised January 2011. Accepted February 2011.
- Censored survival time;
- Efficient estimation;
- Kernel smoothing;
- Piecewise constant hazard;
- Profile likelihood
Summary The accelerated hazard model has been proposed for more than a decade. However, its application is still very limited, partly due to the complexity of the existing semiparametric estimation method. We propose a new semiparametric estimation method based on a kernel-smoothed approximation to the limit of a profile likelihood function of the model. The method leads to smooth estimating equations and is easy to use. The estimates from the method are proved to be consistent and asymptotically normal. Our numerical study shows that the new method is more efficient than the existing method. The proposed method is employed to reanalyze the data from a brain tumor treatment study.