Linear Mixed Models for Longitudinal Data
By Geert Verbeke, Geert Molenberghs. 2001
2,375 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jianqing Fan
- G. V. van Breukelen
- Geert Molenberghs
- H. Muller
- Christina Heinze-Deml
- Sik-Yum Lee
- Runze Li
- Matthew J. Gurka
In Statistics and Probability
- Jianqing Fan
- Cun-Hui Zhang
- H. Muller
- Peter Buhlmann
- Runze Li
- Jinchi Lv
- Nicolai Meinshausen
- Geert Molenberghs
Citations in the corpus
- Conditional variance penalties and domain shift robustness (2017, background): “In the equivalent constrained form, the estimator can be viewed as an instance of a restricted maximum likelihood estimator (Harville, 1974; Verbeke and Molenberghs, 2009).”
- New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis (2004, methodology): “Various parametric models and statistical tools have been developed for longitudinal data analysis (see, e.g., Diggle, Heagerty, Liang, and Zeger 2002; Verbeke and Molenberghs 2000).”
- Skew-normal Linear Mixed Models (2005, methodology): “As discussed in Verbeke and Molenberghs (2000), unless the data are analyzed in a Bayesian framework, inference in this type of models has to be based on the marginal distribution for the response Yj.”
- A multilevel model of safety climate: cross-level relationships between organization and group-level climates. (2005, methodology): “In all cases, we used the unstructured variance–covariance matrix, which offered the best fit based on Akaikes information criterion (Verbeke & Molenberghs, 2000).”
- A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus (2008, methodology): “This modeling technique is well described in such texts as Verbeke and Molenberghs (Verbeke and Molenberghs, 2000) and Fitzmaurice et al. (Fitzmaurice et al., 2004).”
- Effects of invasive Pacific red lionfish Pterois volitans versus a native predator on Bahamian coral-reef fish communities (2012, background): “Likelihood Ratio Tests (LRT) with a correction for testingon-the-boundary (Verbeke and Molenberghs 2000) indicated that inclusion of the random reef term resulted in significantly better fits for each of the response variables (Online Resource 1).”
- A diagnostic procedure based on local influence (2004, result): “Note that, unlike the results in White (1982), our theorems do not rely on the 'identically distributed' assumption.”
- Mixed models including environmental covariables for studying QTL by environment interaction (2004, methodology): “For the fixed terms in mixed models, Wald tests can be used ( Verbeke & Molenberghs, 2000 ).”
- Encyclopedia of Statistical Sciences (2007, background): “In addition to material closely linked to chapters in this book, the text by Verbeke and Molenberghs (2000) includes chapters on exploratory data analysis for longitudinal data, inference for random effects, and a number of topics related to missing data, including sensitivity analysis.”