150 citations · 227 across the 4 of their papers we have counts for
4 papers
A Family of Generalized Linear Models for Repeated Measures with Normal and Conjugate Random Effects
Geert Molenberghs, Geert Verbeke, Clarice G. B. Demétrio +1
Non-Gaussian outcomes are often modeled using members of the so-called exponential family. Notorious members are the Bernoulli model for binary data, leading to logistic regression…
Discussion of Likelihood Inference for Models with Unobservables: Another View
Geert Molenberghs, Michael G. Kenward, Geert Verbeke
Discussion of "Likelihood Inference for Models with Unobservables: Another View" by Youngjo Lee and John A. Nelder [arXiv:1010.0303]
Formal and Informal Model Selection with Incomplete Data
Geert Verbeke, Geert Molenberghs, Caroline Beunckens
Model selection and assessment with incomplete data pose challenges in addition to the ones encountered with complete data. There are two main reasons for this. First, many models…
Analyzing Incomplete Discrete Longitudinal Clinical Trial Data
Ivy Jansen, Caroline Beunckens, Geert Molenberghs +2
Commonly used methods to analyze incomplete longitudinal clinical trial data include complete case analysis (CC) and last observation carried forward (LOCF). However, such methods…