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Marginal longitudinal nonparametric regression: Locality and efficiency of spline and kernel methods

Date

Authors

Welsh, Alan

Lin, Xihong

Carroll, Raymond

Publisher

American Statistical Association

Abstract

We consider nonparametric regression in a longitudinal marginal model of generalized estimating equation (GEE) type with a time-varying covariate in the situation where the number of observations per subject is finite and the number of subjects is large.

Keywords

Clustered data, Equivalent kernel, Generalized estimating equation, Generalized least squares, Kernel regression, Longitudinal model, Nonparametric regression, P-spline, Regression spline, Repeated measures, Smoothing spline, Weighted least squares

URI

http://hdl.handle.net/1885/73225

Collections

ANU Research Publications

Source

Journal of the American Statistical Association

Type

Journal article

DOI

10.1198/016214502760047014

Restricted until

2037-12-31

Downloads

File

Description

01_Welsh_Marginal_longitudinal_2002.pdf (532.02 KB)