rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model
  name:
    name part: Chen, Xiangjun
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Wehrly, Thomas
    role:
      role term: thesis advisor.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Multivariate generalized linear mixed models (MGLMM) are used for jointly modeling the clustered mixed outcomes obtained when there are two or more responses repeatedly measured on each individual in scientific studies. The relationship among these responses is often of interest. In the clustered mixed data, the correlation could be present between repeated measurements either within the same observer or between different observers on the same subjects. This study proposes a series of in- dices, namely, intra, inter and total correlation coefficients, to measure the correlation under various circumstances of observations from a multivariate generalized linear model, especially for joint modeling of clustered count and continuous outcomes. Bayesian methods are widely used techniques for analyzing MGLMM. The need for noninformative priors arises when there is insufficient prior information on the model parameters. Another aim of this study is to propose an approximate uniform shrinkage prior for the random effect variance components in the Bayesian analysis for the MGLMM. This prior is an extension of the approximate uniform shrinkage prior. This prior is easy to apply and is shown to possess several nice properties. The methods are illustrated in terms of both a simulation study and a case example. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/151145
  note: by Hsiang-Chun Chen.
  note: "Major Subject: Statistics"
  note: Includes vita.
  note: Doctor of Philosophy Texas A & M University 2013 http://hdl.handle.net/1969.1/151145
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Statistics
  subject:
    topic: Correlation coefficient
  subject:
    topic: Clustered mixed outcome
  subject:
    topic: Multivariate generalized linear model
  subject:
    topic: Uniform shrinkage prior
  identifier: http://hdl.handle.net/1969.1/151145
  record info:
    record content source: TXA
    record creation date: 140328
    record change date: 20151206094911.0
    record identifier: in00003477157
    language of cataloging:
      language term: eng