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Multivariate generalized linear mixed models using R [electronic resource] / Damon M. Berridge, Robert Crouchley.

By: Contributor(s): Material type: TextPublication details: Boca Raton, Fla. : CRC Press, 2011.Description: xxiii, 280 p. : illISBN:
  • 9781439813270 (ebook : PDF)
Subject(s): Genre/Form: Additional physical formats: No titleOnline resources: Available additional physical forms:
  • Also available in print edition.
Contents:
1. Introduction -- 2. Generalized linear models for continuous/interval scale data -- 3. Generalized linear models for other types of data -- 4. Family of generalized linear models -- 5. Mixed models for continuous/interval scale data -- 6. Mixed models for binary data -- 7. Mixed models for ordinal data -- 8. Mixed models for count data -- 9. Family of two-level generalized linear models -- 10. Three-level generalized linear models -- 11. Models for multivariate data -- 12. Models for duration and event history data -- 13. Stayers, non-susceptibles and endpoints -- 14. Handling initial conditions/state dependence in binary data -- 15. Incidental parameters : an empirical comparison of fixed effects and random effects models.
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"A Chapman & Hall book."

Includes bibliographical references (p. 249-257) and indexes.

1. Introduction -- 2. Generalized linear models for continuous/interval scale data -- 3. Generalized linear models for other types of data -- 4. Family of generalized linear models -- 5. Mixed models for continuous/interval scale data -- 6. Mixed models for binary data -- 7. Mixed models for ordinal data -- 8. Mixed models for count data -- 9. Family of two-level generalized linear models -- 10. Three-level generalized linear models -- 11. Models for multivariate data -- 12. Models for duration and event history data -- 13. Stayers, non-susceptibles and endpoints -- 14. Handling initial conditions/state dependence in binary data -- 15. Incidental parameters : an empirical comparison of fixed effects and random effects models.

Also available in print edition.

Mode of access: World Wide Web.

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