This paperback edition is a reprint of the 2000 edition. 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. Several variations to the conventional linear mixed model are discussed (a heterogeity model, conditional linear mixed models). This book will be of interest to applied statisticians and biomedical researchers in industry, public health org...
Graduation date: 2006This thesis consists of three papers which investigate marginal models,\ud nonp...
In clinical trials, longitudinal data are often analyzed using T-tests, anovas or ancovas instead of...
The most common analysis used for binary data is generalised linear model (GLM) with either a binom...
Many approaches are available for the analysis of continuous longitudinal data. Over the last couple...
This book covers a wide variety of statistical techniques for longitudinal data analysis. The author...
Longitudinal methods are the methods of choice for researchers who view their phenomena of interest ...
The choice of an appropriate family of linear models for the analysis of longitudinal data is often ...
Although different methods are available for the analyses of longitudinal data, analyses based on ge...
Although different methods are available for the analyses of longitudinal data, analyses based on ge...
The objectives of this article are twofold: (a) to outline the basic concepts associated with the li...
Breslow and Clayton (J Am Stat Assoc 88:9–25,1993) was, and still is, a highly influential paper mob...
Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound mode...
In the health and social sciences, longitudinal data have often been analyzed without taking into ac...
Master's thesis in Mathematics and PhysicsThe Linear mixed effects model is based on one of the assu...
The analysis of complex longitudinal data is challenging due to several inherent features: (i) more ...
Graduation date: 2006This thesis consists of three papers which investigate marginal models,\ud nonp...
In clinical trials, longitudinal data are often analyzed using T-tests, anovas or ancovas instead of...
The most common analysis used for binary data is generalised linear model (GLM) with either a binom...
Many approaches are available for the analysis of continuous longitudinal data. Over the last couple...
This book covers a wide variety of statistical techniques for longitudinal data analysis. The author...
Longitudinal methods are the methods of choice for researchers who view their phenomena of interest ...
The choice of an appropriate family of linear models for the analysis of longitudinal data is often ...
Although different methods are available for the analyses of longitudinal data, analyses based on ge...
Although different methods are available for the analyses of longitudinal data, analyses based on ge...
The objectives of this article are twofold: (a) to outline the basic concepts associated with the li...
Breslow and Clayton (J Am Stat Assoc 88:9–25,1993) was, and still is, a highly influential paper mob...
Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound mode...
In the health and social sciences, longitudinal data have often been analyzed without taking into ac...
Master's thesis in Mathematics and PhysicsThe Linear mixed effects model is based on one of the assu...
The analysis of complex longitudinal data is challenging due to several inherent features: (i) more ...
Graduation date: 2006This thesis consists of three papers which investigate marginal models,\ud nonp...
In clinical trials, longitudinal data are often analyzed using T-tests, anovas or ancovas instead of...
The most common analysis used for binary data is generalised linear model (GLM) with either a binom...