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2020 – today
- 2025
[j18]Margaux Delporte
, Geert Verbeke, Steffen Fieuws, Geert Molenberghs:
Accelerating computation: A pairwise fitting technique for multivariate probit models. Comput. Stat. Data Anal. 203: 108082 (2025)- 2022
- [j17]Oludare Samuel Ariyo, Emmanuel Lesaffre, Geert Verbeke, Adrian Quintero:
Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors. Commun. Stat. Simul. Comput. 51(4): 1591-1615 (2022) - [j16]Lisa Hermans, Geert Molenberghs, Geert Verbeke, Michael G. Kenward, Pavlos Mamouris, Bert Vaes:
Optimal weighted estimation versus Cochran-Mantel-Haenszel. Commun. Stat. Simul. Comput. 51(7): 3645-3659 (2022) - 2021
- [j15]Payam Amini, Abbas Moghimbeigi, Farid Zayeri, Leili Tapak, Saman Maroufizadeh, Geert Verbeke:
Longitudinal Joint Modelling of Ordinal and Overdispersed Count Outcomes: A Bridge Distribution for the Ordinal Random Intercept. Comput. Math. Methods Medicine 2021: 5521881:1-5521881:13 (2021) - 2020
- [j14]Wim De Mulder, Geert Molenberghs, Geert Verbeke:
An interpretation of radial basis function networks as zero-mean Gaussian process emulators in cluster space. J. Comput. Appl. Math. 363: 249-255 (2020)
2010 – 2019
- 2019
- [j13]Wim De Mulder, Bernhard Rengs, Geert Molenberghs, Thomas Fent, Geert Verbeke:
Extending Gaussian process emulation using cluster analysis and artificial neural networks to fit big training sets. J. Simulation 13(3): 195-208 (2019) - 2018
- [j12]Lisa Hermans, Vahid Nassiri, Geert Molenberghs, Michael G. Kenward, Simon Vander Elst, Marc Aerts, Geert Verbeke:
Fast, closed-form, and efficient estimators for hierarchical models with AR(1) covariance and unequal cluster sizes. Commun. Stat. Simul. Comput. 47(5): 1492-1505 (2018) - 2016
- [c2]Vahid Nassiri, Geert Molenberghs, Geert Verbeke:
Finite information limit variance-covariance structures: Is the entire dataset needed for analysis? HPCS 2016: 736-742 - 2014
- [j11]Koen Van der Borght, Geert Verbeke, Herman van Vlijmen:
Multi-model inference using mixed effects from a linear regression based genetic algorithm. BMC Bioinform. 15: 88 (2014) - [j10]Stijn Jaspers, Marc Aerts, Geert Verbeke, Pierre-Alexandre Beloeil:
A new semi-parametric mixture model for interval censored data, with applications in the field of antimicrobial resistance. Comput. Stat. Data Anal. 71: 30-42 (2014) - 2013
- [j9]Pushpike Jayantha Thilakarathne, Geert Verbeke, Kristof Engelen, Kathleen Marchal, Dan Lin:
Identifying differentially expressed genes in the absence of replication. Int. J. Bioinform. Res. Appl. 9(1): 71-90 (2013) - [j8]Chiara Forcheh Anyiawung, Geert Verbeke, Adetayo Kasim, Dan Lin, Ziv Shkedy, Willem Talloen, Hinrich W. H. Göhlmann, Lieven Clement:
beadarrayFilter: An R Package to Filter Beads. R J. 5(1): 171 (2013) - 2012
- [j7]Jan Luts, Geert Molenberghs, Geert Verbeke, Sabine Van Huffel, Johan A. K. Suykens:
A mixed effects least squares support vector machine model for classification of longitudinal data. Comput. Stat. Data Anal. 56(3): 611-628 (2012) - [j6]Geert Molenberghs, Geert Verbeke, Samuel Iddi, Clarice G. B. Demétrio:
A combined beta and normal random-effects model for repeated, overdispersed binary and binomial data. J. Multivar. Anal. 111: 94-109 (2012) - 2011
- [j5]Pushpike Jayantha Thilakarathne, Lieven Clement, Dan Lin, Ziv Shkedy, Adetayo Kasim, Willem Talloen, Matthias Versele, Geert Verbeke:
The use of semiparametric mixed models to analyze PamChip® peptide array data: an application to an oncology experiment. Bioinform. 27(20): 2859-2865 (2011) - [j4]Koen Van der Borght, Elke Van Craenenbroeck, Pierre Lecocq, Margriet Van Houtte, Barbara Van Kerckhove, Lee Bacheler, Geert Verbeke, Herman van Vlijmen:
Cross-validated stepwise regression for identification of novel non-nucleoside reverse transcriptase inhibitor resistance associated mutations. BMC Bioinform. 12: 386 (2011) - [j3]Assam Pryseley, Clotaire Tchonlafi, Geert Verbeke, Geert Molenberghs:
Estimating negative variance components from Gaussian and non-Gaussian data: A mixed models approach. Comput. Stat. Data Anal. 55(2): 1071-1085 (2011)
2000 – 2009
- 2009
- [c1]Pushpike Jayantha Thilakarathne, Geert Verbeke, Kristof Engelen, Kathleen Marchal:
The Use of Mixed Models to Identify Differentially Expressed Genes when a Single Replicate per Biological Condition is Present. BIOCOMP 2009: 186-190 - 2006
- [j2]Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aerts, Geert Verbeke, Michael G. Kenward:
The nature of sensitivity in monotone missing not at random models. Comput. Stat. Data Anal. 50(3): 830-858 (2006) - 2005
- [j1]Niel Hens, Marc Aerts, Geert Molenberghs, Herbert Thijs, Geert Verbeke:
Kernel weighted influence measures. Comput. Stat. Data Anal. 48(3): 467-487 (2005)
Coauthor Index
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