Methods and applications of longitudinal data analysis /

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Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas o...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Liu, Xian (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, UK : Academic Press is an imprint of Elsevier, [2015]
Temas:
Longitudinal method.
Multivariate analysis.
Longitudinal Studies
Multivariate Analysis
M�ethode longitudinale.
Analyse multivari�ee.
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Chapter 1. Introduction
  • Chapter 2. Traditional methods of longitudinal data analysis
  • Chapter 3. Linear mixed-effects models
  • Chapter 4. Restricted maximum likelihood and inference of random effects in linear mixed models
  • Chapter 5
  • Patterns of residual covariance structure
  • Chapter 6. Residual and influence diagnostics
  • Chapter 7. Special topics on linear mixed models
  • Chapter 8. Generalized linear mixed models on nonlinear longitudinal data
  • Chapter 9. Generalized estimating equations (GEEs) models
  • Chapter 10. Mixed-effects regression model for binary longitudinal data
  • Chapter 11. Mixed-effects multinomial logit model for nominal outcomes
  • Chapter 12. Longitudinal transition models for categorical response data
  • Chapter 13. Latent growth, latent growth mixture, and group-based models
  • Chapter 14. Methods for handling missing data
  • Appendix A. Orthogonal polynomials
  • Appendix B. The delta method
  • Appendix C. Quasi-likelihood functions and properties
  • Appendix D. Model specification and SAS program for random coefficient multinomial logit model on health state among older Americans.

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