Mixed effects models for the population approach models, tasks, methods and tools
This book presents wide-ranging coverage of parametric modeling in linear and nonlinear mixed-effects models. Using these models, readers can perform parameter estimation across a whole population of individuals at the same time. The book takes readers through the whole modeling process, from defini...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press
[2015]
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| Edición: | 1st edition |
| Colección: | Chapman & Hall/CRC biostatistics series.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628719206719 |
Tabla de Contenidos:
- Front Cover; Contents; Preface; Part I: Introduction and Preliminary Concepts; Chapter 1: Overview; Chapter 2: Mixed Effects Models vs Hierarchical Models; Chapter 3: What is a Model? A Joint Probability Distribution!; Part II: Defining Models; Chapter 4: Modeling the Observations; Chapter 5: Modeling the Individual Parameters; Chapter 6: Extensions; Part III: Using Models; Chapter 7: Tasks and Methods; Chapter 8: Examples; Chapter 9: Algorithms; Part IV: Appendices; A: The Individual Approach; B: Some Useful Results; C: Introduction to Pharmacokinetics Modeling; D: Tools; Bibliography
- GlossaryBack Cover
