Abstract #300070

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 #300070
Activity Number: 131
Type: Invited
Date/Time: Monday, August 12, 2002 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract - #300070
Title: The Use of Polynomial Splines in Longitudinal Data Analysis
Author(s): Jianhua Huang*+
Affiliation(s): University of Pennsylvania
Address: The Wharton School, Philadelphia, Pennsylvania, 19104, USA
Keywords: polynomial spline ; nonparametric estimation ; repeated measurements
Abstract:

Nonparametric regression models are flexible and impose less restrictive assumptions than parametric models. However, fully nonparametric models can not be adequately estimated under most realistic sample sizes when there are many covariates due to the well-known "curse of dimensionality." It is necessary to introduce some structures to the regression function to make the estimation problem practically feasible. In this talk, we will show that polynomial splines provide a convenient tool for estimation for structured nonparametric models. In particular, we will discuss in some detail a time-varying coefficient model, a natural structured nonparametric model for longitudinal data analysis.

  • 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