Modeling Longitudinal Data

Longitudinal data are ubiquitous across Medicine, Public Health, Public Policy, Psychology, Political Science, Biology, Sociology and Education, yet many longitudinal data sets remain improperly analyzed. This book teaches the art and statistical science of modern longitudinal data analysis. The aut...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Weiss, Robert E. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Springer Texts in Statistics,
Temas:
Epidemiology.
Social sciences.
Humanities.
Biometry.
Statistics .
Social sciences-Statistical methods.
Humanities and Social Sciences.
Biostatistics.
Statistical Theory and Methods.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Statistics in Business, Management, Economics, Finance, Insurance.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • to Longitudinal Data
  • Plots
  • Simple Analyses
  • Critiques of Simple Analyses
  • The Multivariate Normal Linear Model
  • Tools and Concepts
  • Specifying Covariates
  • Modeling the Covariance Matrix
  • Random Effects Models
  • Residuals and Case Diagnostics
  • Discrete Longitudinal Data
  • Missing Data
  • Analyzing Two Longitudinal Variables
  • Further Reading.

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