Multivariate Generalized Linear Mixed Models Using R - Damon Mark Berridge,Robert Crouchley
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In medical and social science research, MGLMMs help disentangle state dependence from incidental parameters. Focusing on these sophisticated data analysis techniques, this work presents robust and methodologically sound models for analyzing large and complex data sets-enabling readers to answer increasingly complex research questions. It applies the principles of modeling to longitudinal data from panel and ... Pilns apraksts
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Aprašymas
In medical and social science research, MGLMMs help disentangle state dependence from incidental parameters. Focusing on these sophisticated data analysis techniques, this work presents robust and methodologically sound models for analyzing large and complex data sets-enabling readers to answer increasingly complex research questions. It applies the principles of modeling to longitudinal data from panel and related studies via the Sabre software package in R. Many examples throughout the text illustrate the analysis of real-world data sets. Supporting materials are available on a Sabre-dedicated website.
Vairāk informācijas
| Autors | Damon Mark Berridge, Robert Crouchley |
|---|---|
| Izdevējs | CRC Press |
| Izlaides gads | 2011 |
| Vāka tips | Cietais vāks |
| EAN | 9781439813263 |