Linear Mixed Models for Longitudinal Data.pdf

Linear Mixed Models for Longitudinal Data

Geert Molenberghs

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model diagnostics and missing data receive extensive treatment. Sensitivity analysis for incomplete data is given a prominent place.Most analyses were done with the MIXED procedure of the SAS software package, but the data analyses are presented in a software-independent fashion.

This paperback edition is a reprint of the 2000 edition. This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data . ⇒ what do the fixed effect and random effects estimates suggest? 13 / 29. Page 19. Worked example: sleep deprivation study.

6.93 MB DATEIGRÖSSE
1475773846 ISBN
Englisch SPRACHE
Linear Mixed Models for Longitudinal Data.pdf

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Sofia Voigt

Linear Mixed Models For Longitudinal Data | …

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Matteo Müller

Amazon.com: Linear Mixed Models for Longitudinal Data (Springer Series in Statistics) (9781441902993): Geert Verbeke, Geert Molenberghs: Books.

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Noel Schulze

This course is an introduction to the area of mixed models which has become a necessary tool for treating real life situations with e.g. random effects, correlated observations and missing data. The emphasis is on longitudinal data and on how to use SAS and R to analyse mixed models.

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Jason Lehmann

Linear Mixed Models for Longitudinal Data | Geert …

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Jessica Kohmann

Learning objectives I Be able to understand the importance of longitudinal models (in epidemiology) I Be able to understand the rationale of using mixed models I Be able to formulate, run, and interpret results of mixed models for longitudinal data 2/29