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University of Illinois at Urbana-Champaign
Modeling Correlated Ordinal Data: Marginal and Conditional Approaches
Abstract
dc:descriptionGeneral 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.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Statistics
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Huebner, Alan Randall
- Contributors dc:contributor
-
- Simpson, Douglas G.
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3337799
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/87413