Kernel weighted influence measures. - Niel Hens; Marc Aerts; Geert Molenberghs; Herbert Thijs; Geert Verbeke (Comput. Stat. Data Anal., 2005)

The nature of sensitivity in monotone missing not at random models. - Ivy Jansen; Niel Hens; Geert Molenberghs; Marc Aerts; Geert Verbeke; Michael G. Kenward (Comput. Stat. Data Anal., 2006)

The Use of Mixed Models to Identify Differentially Expressed Genes when a Single Replicate per Biological Condition is Present. - Pushpike Jayantha Thilakarathne; Geert Verbeke; Kristof Engelen; Kathleen Marchal (BIOCOMP, 2009)

The use of semiparametric mixed models to analyze PamChip® peptide array data: an application to an oncology experiment. - Pushpike Jayantha Thilakarathne; Lieven Clement; Dan Lin 004; Ziv Shkedy; Adetayo Kasim; Willem Talloen; Matthias Versele; Geert Verbeke (Bioinform., 2011)

Cross-validated stepwise regression for identification of novel non-nucleoside reverse transcriptase inhibitor resistance associated mutations. - Koen Van der Borght; Elke Van Craenenbroeck; Pierre Lecocq; Margriet Van Houtte; Barbara Van Kerckhove; Lee Bacheler; Geert Verbeke; Herman van Vlijmen (BMC Bioinform., 2011)

Estimating negative variance components from Gaussian and non-Gaussian data: A mixed models approach. - Assam Pryseley; Clotaire Tchonlafi; Geert Verbeke; Geert Molenberghs (Comput. Stat. Data Anal., 2011)

A mixed effects least squares support vector machine model for classification of longitudinal data. - Jan Luts; Geert Molenberghs; Geert Verbeke; Sabine Van Huffel; Johan A. K. Suykens (Comput. Stat. Data Anal., 2012)

A combined beta and normal random-effects model for repeated, overdispersed binary and binomial data. - Geert Molenberghs; Geert Verbeke; Samuel Iddi; Clarice G. B. Demétrio (J. Multivar. Anal., 2012)

Identifying differentially expressed genes in the absence of replication. - Pushpike Jayantha Thilakarathne; Geert Verbeke; Kristof Engelen; Kathleen Marchal; Dan Lin 004 (Int. J. Bioinform. Res. Appl., 2013)

beadarrayFilter: An R Package to Filter Beads. - Chiara Forcheh Anyiawung; Geert Verbeke; Adetayo Kasim; Dan Lin 004; Ziv Shkedy; Willem Talloen; Hinrich W. H. Göhlmann; Lieven Clement (R J., 2013)

Multi-model inference using mixed effects from a linear regression based genetic algorithm. - Koen Van der Borght; Geert Verbeke; Herman van Vlijmen (BMC Bioinform., 2014)

A new semi-parametric mixture model for interval censored data, with applications in the field of antimicrobial resistance. - Stijn Jaspers; Marc Aerts; Geert Verbeke; Pierre-Alexandre Beloeil (Comput. Stat. Data Anal., 2014)

Finite information limit variance-covariance structures: Is the entire dataset needed for analysis? - Vahid Nassiri; Geert Molenberghs; Geert Verbeke (HPCS, 2016)

Fast, closed-form, and efficient estimators for hierarchical models with AR(1) covariance and unequal cluster sizes. - Lisa Hermans; Vahid Nassiri; Geert Molenberghs; Michael G. Kenward; Simon Vander Elst; Marc Aerts; Geert Verbeke (Commun. Stat. Simul. Comput., 2018)

Extending Gaussian process emulation using cluster analysis and artificial neural networks to fit big training sets. - Wim De Mulder; Bernhard Rengs; Geert Molenberghs; Thomas Fent; Geert Verbeke (J. Simulation, 2019)

An interpretation of radial basis function networks as zero-mean Gaussian process emulators in cluster space. - Wim De Mulder; Geert Molenberghs; Geert Verbeke (J. Comput. Appl. Math., 2020)

Longitudinal Joint Modelling of Ordinal and Overdispersed Count Outcomes: A Bridge Distribution for the Ordinal Random Intercept. - Payam Amini; Abbas Moghimbeigi; Farid Zayeri; Leili Tapak; Saman Maroufizadeh; Geert Verbeke (Comput. Math. Methods Medicine, 2021)

Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors. - Oludare Samuel Ariyo; Emmanuel Lesaffre; Geert Verbeke; Adrian Quintero (Commun. Stat. Simul. Comput., 2022)

Optimal weighted estimation versus Cochran-Mantel-Haenszel. - Lisa Hermans; Geert Molenberghs; Geert Verbeke; Michael G. Kenward; Pavlos Mamouris; Bert Vaes (Commun. Stat. Simul. Comput., 2022)

Accelerating computation: A pairwise fitting technique for multivariate probit models. - Margaux Delporte; Geert Verbeke; Steffen Fieuws; Geert Molenberghs (Comput. Stat. Data Anal., 2025)