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University of Illinois at Urbana-Champaign

Application of Regression Spline in Multilevel Longitudinal Modeling

Abstract

dc:description

A general description of linear mixed-effects models, linear mixed-effects models for longitudinal data, and regression splines are first reviewed. Subsequently, a methodology that applies regression spline in multilevel longitudinal modeling is proposed to deal with the longitudinal data with large numbers of time points. The visual-search data are used to demonstrate the proposed methodology. Several recommendations on the application of regression spline in multilevel longitudinal modeling are discussed.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Education
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ker, Hsiang-Wei
Contributors dc:contributor
  • Wardrop, James L.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3070348
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/79699

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Ker, Hsiang-Wei. Application of Regression Spline in Multilevel Longitudinal Modeling. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/79699