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...
| Corporate Authors: | , |
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| Other Authors: | |
| Format: | eBook |
| Language: | Inglés |
| Published: |
Cary, North Carolina :
SAS Institute
[2012]
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| Edition: | 1st edition |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628855206719 |
Table of Contents:
- Marginal linear 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.
