Skip to main content

A New Semiparametric Estimation Method for Accelerated Hazard Model

Buy Article:

$51.00 plus tax (Refund Policy)

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.
No References
No Citations
No Supplementary Data
No Data/Media
No Metrics

Document Type: Research Article

Affiliations: 1: Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, South Carolina 29208, U.S.A. 2: Department of Statistics, University of South Carolina, Columbia, South Carolina 29208, U.S.A.

Publication date: 2011-12-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more