JSM Preliminary Online Program
This is the preliminary program for the 2006 Joint Statistical Meetings in Seattle, Washington.

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 2006 Program page

Activity Number: 156
Type: Contributed
Date/Time: Monday, August 7, 2006 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #306457
Title: Estimation of the Mean Function of Panel Count Data Using Monotone Polynomial Splines
Author(s): Minggen Lu*+ and Ying Zhang and Jian Huang
Companies: The University of Iowa and The University of Iowa and The University of Iowa
Address: 598 Hawkeye Court, Iowa City, IA, 52246,
Keywords:
Abstract:

We study the nonparametric pseudo-likelihood and full likelihood estimators of the mean function of a counting process based on panel count data using monotone polynomial splines. The setting for panel count data is one in which n independent subjects, each with a counting process with common mean function, are observed at several possibly different times during a study. Generalized Rosen algorithm was used to compute the estimators. We show the proposed spline estimators are asymptotically consistent and the rate of convergence is higher than 1/3. The simulation study show the spline-based estimators have smaller variances and mean square errors than nonparametric pseudo and full likelihood estimators proposed in Wellner and Zhang (2000). A real Bladder cancer trial example is used to illustrate the method.

  • 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 2006 program

JSM 2006 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised April, 2006