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Generalized linear and nonlinear models for correlated data : theory and applications using SAS /
Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear models or generalized nonlinear mo...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cary, NC :
SAS Institute,
Ã2012.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Introduction
- Marginal linera models : normal theory
- Linear mixed-effects models : normal theory
- Generalized linear and nonlinear models
- Generalized linear and nonlinear mixed-effects models
- Missing data in longitudinal clinical trials
- Additional topics and applications.