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author = "MOLENBERGHS, Geert"

Found 550 documents, displaying page 4 of 55

Linear Mixed Models For Longitudinal Data

Description : 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 m...
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Language(s) : English

The Diggle-Kenward model for dropout

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Repository : Document Server@UHasselt
Language(s) : English

Discussion of Lee, Y. and Nelder, J.A.: Likelihood for random-effect models

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Repository : Document Server@UHasselt
Language(s) : English

On the Weibull-Gamma frailty model, its infinite moments, and its connection to generalized log-logistic, logistic, Cauchy, and extreme-value distributions

Description : It is shown that the commonly used Weibull-Gamma frailty model has a finite number of finite moments only and that its marginal distribution generalizes the log-logistic distribution. In some cases there is not even a finite variance, and there are cases without a single finite moment. Upon transfor...
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Language(s) : English

Pattern-mixture models for categorical outcomes with non-monotone missingness

Description : Although most models for incomplete longitudinal data are formulated within the selection model framework, pattern-mixture models have gained considerable interest in recent years [R.J.A. Little, Pattern-mixture models for multivariate incomplete data, J. Am. Stat. Assoc. 88 (1993), pp. 125-134; R.J...
Repository : Document Server@UHasselt
Language(s) : English

Arbitrariness of models for augmented and coarse data, with emphasis on incomplete data and random effects models

Description : Statistical models often extend beyond the data available. First, in coarse data, what is actually observed is less detailed than what might be, owing to incompleteness, censoring, grouping, or a combination thereof. Second, in augmented data, the observed data are hypothetically supplemented with r...
Repository : Document Server@UHasselt
Language(s) : English

A note on a hierarchical interpretation for negative variance components

Description : A lot has been said about the relationship between hierarchical models, such as linear mixed-effects models, and the marginal models they imply. Generally, there is a many-to-one map of hierarchical models onto a given marginal model. Additionally, in some cases, no obvious hierarchical model leads ...
Repository : Document Server@UHasselt
Language(s) : English

A combined overdispersed and marginalized multilevel model

Description : Overdispersion and correlation are two features often encountered when modeling non-Gaussian dependent data, usually as a function of known covariates. Methods that ignore the presence of these phenomena are often in jeopardy of leading to biased assessment of covariate effects. The beta-binomial an...
Repository : Document Server@UHasselt
Language(s) : English

A joint marginalized multilevel model for longitudinal outcomes

Description : The shared-parameter model and its so-called hierarchical or random-effects extension are widely used joint modeling approaches for a combination of longitudinal continuous, binary, count, missing, and survival outcomes that naturally occurs in many clinical and other studies. A random effect is int...
Repository : Document Server@UHasselt
Language(s) : English

Found 550 documents, displaying page 4 of 55