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Title:Modeling Correlated Ordinal Data: Marginal and Conditional Approaches
Author(s):Huebner, Alan Randall
Doctoral Committee Chair(s):Simpson, Douglas G.
Department / Program:Statistics
Discipline:Statistics
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Statistics
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.
Issue Date:2008
Type:Text
Language:English
Description:57 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.
URI:http://hdl.handle.net/2142/87413
Other Identifier(s):(MiAaPQ)AAI3337799
Date Available in IDEALS:2015-09-28
Date Deposited:2008


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