University of Illinois Urbana-Champaign

Modeling Correlated Ordinal Data: Marginal and Conditional Approaches

Huebner, Alan Randall

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Description

Title
Modeling Correlated Ordinal Data: Marginal and Conditional Approaches
Author(s)
Huebner, Alan Randall
Issue Date
2008
Doctoral Committee Chair(s)
Simpson, Douglas G.
Department of Study
Statistics
Discipline
Statistics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Statistics
Language
eng
Abstract
General computing algorithms are developed in R for the GEE computations and WinBugs to perform Gibbs sampling for the Bayesian analysis. Analyses of randomized controlled longitudinal data and randomized controlled surgical data are used to illustrate the features of the class of models.
Graduation Semester
2008
Type of Resource
text
Permalink
http://hdl.handle.net/2142/87413

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