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Simpson, Douglas G. Huebner, Alan Randall 2015-09-28T16:02:47Z 2015-09-28T16:02:47Z 10000-01-01 2008 2008 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. Made available in DSpace on 2015-09-28T16:02:47Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3337799.pdf: 820289 bytes, checksum: 61495b49850b5d0cb94ad7f931accc7b (MD5) Previous issue date: 2008 Embargo set by: Seth Robbins for item 88694 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 57 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. http://hdl.handle.net/2142/87413 (MiAaPQ)AAI3337799 eng Statistics Modeling Correlated Ordinal Data: Marginal and Conditional Approaches text Statistics Statistics University of Illinois at Urbana-Champaign Dissertation Ph.D.