Applied Longitudinal Data Analysis for Epidemiology.

A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Twisk, Jos W. R.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge : Cambridge University Press, 2013.
Edición:2nd ed.
Temas:
Epidemiology > Research > Statistical methods.
Epidemiology > Longitudinal studies.
Epidemiology > Statistical methods.
Épidémiologie > Études longitudinales.
Épidémiologie > Méthodes statistiques.
Epidemiology
Epidemiology > Statistical methods
Longitudinal studies
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Machine generated contents note: Preface; Acknowledgements; 1. Introduction; 2. Study design; 3. Continuous outcome variables; 4. Continuous outcome variables
  • relationships with other variables; 5. The modelling of time; 6. Other possibilities for modelling longitudinal data; 7. Dichotomous outcome variables; 8. Categorical and 'count' outcome variables; 9. Analysis data from experimental studies; 10. Missing data in longitudinal studies; 11. Sample size calculations; 12. Software for longitudinal data analysis; 13. One step further; References; Index.

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