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: Linear Mixed Models for Longitudinal Data
  name:
    name part: Verbeke, Geert.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Molenberghs, Geert.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2000
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 568 p. online resource.
  table of contents: Examples -- A Model for Longitudinal Data -- Exploratory Data Analysis -- Estimation of the Marginal Model -- Inference for the Marginal Model -- Inference for the Random Effects -- Fitting Linear Mixed Models with SAS -- General Guidelines for Model Building -- Exploring Serial Correlation -- Local Influence for the Linear Mixed Model -- The Heterogeneity Model -- Conditional Linear Mixed Models -- Exploring Incomplete Data -- Joint Modeling of Measurements and Missingness -- Simple Missing Data Methods -- Selection Models -- Pattern-Mixture Models -- Sensitivity Analysis for Selection Models -- Sensitivity Analysis for Pattern-Mixture Models -- How Ignorable Is Missing At Random ? -- The Expectation-Maximization Algorithm -- Design Considerations -- Case Studies.
  note: by Geert Verbeke, Geert Molenberghs.
  subject:
    topic: Mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Probabilities
  subject:
    topic: Statistics
  subject:
    topic: Mathematics
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Statistical Theory and Methods
  classification: TA342-343
  classification: 003.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Series in Statistics
  identifier: 9780387227757
  identifier: http://dx.doi.org/10.1007/b98969
  record info:
    record creation date: 100301
    record change date: 20151204180904.0
    record identifier: 978-0-387-22775-7