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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Detalles Bibliográficos
Otros Autores: Lavielle, Marc, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press [2015]
Edición:1st edition
Colección:Chapman & Hall/CRC biostatistics series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628719206719
Descripción
Sumario: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 defining/creating a parametric model to performing tasks on the model using various mathematical methods. It also includes numerous case studies and illustrates the use of the MONOLIX software--Provided by publisher.
Notas:Description based upon print version of record.
Descripción Física:1 online resource (380 p.)
Bibliografía:Includes bibliographical references.
ISBN:9780429157189
9781482226508