Skip navigation
Skip navigation

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

Welsh, Alan; Lin, Xihong; Carroll, Raymond

Description

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.

dc.contributor.authorWelsh, Alan
dc.contributor.authorLin, Xihong
dc.contributor.authorCarroll, Raymond
dc.date.accessioned2015-12-13T22:25:24Z
dc.identifier.issn0162-1459
dc.identifier.urihttp://hdl.handle.net/1885/73225
dc.description.abstractWe 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.
dc.publisherAmerican Statistical Association
dc.sourceJournal of the American Statistical Association
dc.subjectKeywords: 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
dc.titleMarginal longitudinal nonparametric regression: Locality and efficiency of spline and kernel methods
dc.typeJournal article
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.citationvolume97
dc.date.issued2002
local.identifier.absfor010405 - Statistical Theory
local.identifier.ariespublicationMigratedxPub3607
local.type.statusPublished Version
local.contributor.affiliationWelsh, Alan, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationLin, Xihong, University of Michigan
local.contributor.affiliationCarroll, Raymond, College of Physical and Mathematical Sciences, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.issue458
local.bibliographicCitation.startpage482
local.bibliographicCitation.lastpage493
local.identifier.doi10.1198/016214502760047014
dc.date.updated2015-12-11T08:15:46Z
local.identifier.scopusID2-s2.0-0035998825
CollectionsANU Research Publications

Download

File Description SizeFormat Image
01_Welsh_Marginal_longitudinal_2002.pdf532.02 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator