Abstract #301802


The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


Back to main JSM 2002 Program page



JSM 2002 Abstract #301802
Activity Number: 79
Type: Contributed
Date/Time: Monday, August 12, 2002 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section*
Abstract - #301802
Title: Estimation in Semiparametric Model with Doubly Censored Data
Author(s): Yen-Chieh Cheng*+ and Cun-Hui Zhang
Affiliation(s): Hurley Consulting Associates Ltd. and Rutgers University
Address: 1 Main Street, Chatham, New Jersey, 07928,
Keywords: Transformation model ; Semi-parametric model ; Doubly Censored data
Abstract:

A class of transformation models that generalizes both the proportional hazards model and the proportional odds model was studied. The transformation model has the property that an increasing transformation of the survival time is linearly related to the covariate with a specified error distribution. Estimation of the unknown regression parameter, and the increasing transformation function in the transformation model was of interest when failure times are subject to double censoring.

A modified likelihood with the property of log-concavity was adapted. An algorithm for computing maximum likelihood estimators of the regression parameter and the increasing transformation function was proposed. Computation of the semi-parametric information of the regression parameter was described. Asymptotic consistency of the estimators of the regression parameter and the increasing transformation function was established. Large-sample behavior of the estimator of the regression parameter was also studied using numerical simulation. The approximate variance of the estimator and confidence intervals of the regression parameter were constructed using information estimation and bootstrap methods.


  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2002 program

JSM 2002

For information, contact meetings@amstat.org or phone (703) 684-1221.

If you have questions about the Continuing Education program, please contact the Education Department.

Revised March 2002