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ORCIDGeert Molenberghs
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2020 – today
- 2025
[j35]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)- 2024
- [j34]Joakim Nyberg, Andrew C. Hooker, Georg Zimmermann, Johan Verbeeck, Martin Geroldinger, Konstantin Emil Thiel, Geert Molenberghs, Martin Laimer, Verena Wally:
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease. Comput. Stat. Data Anal. 199: 108015 (2024) - [j33]Nazanin Nooraee, Geert Molenberghs, Johan Ormel, Edwin R. van den Heuvel:
A normal-probit-binomial model for the analysis of repeated sum scores from multi-item questionnaires. Commun. Stat. Simul. Comput. 53(6): 2880-2897 (2024) - 2022
- [j32]Alvaro Jóse Flórez, Geert Molenberghs, Wim Van Der Elst, Ariel Alonso Abad:
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework. Comput. Stat. Data Anal. 172: 107494 (2022) - [j31]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) - 2020
- [j30]Alvaro Jóse Flórez, Ariel Alonso Abad, Geert Molenberghs, Wim Van Der Elst:
Generating random correlation matrices with fixed values: An application to the evaluation of multivariate surrogate endpoints. Comput. Stat. Data Anal. 142 (2020) - [j29]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
- [j28]Thomas Neyens, Christel Faes, Geert Molenberghs:
Integrated nested Laplace approximation for the analysis of count data via the combined model: A simulation study. Commun. Stat. Simul. Comput. 48(3): 819-836 (2019) - [j27]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
- [j26]Ben Berckmoes, Anna Ivanova, Geert Molenberghs:
On the sample mean after a group sequential trial. Comput. Stat. Data Anal. 125: 104-118 (2018) - [j25]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) - [j24]Renata Tiene de Carvalho Yokota, Caspar Wn Looman, Wilma Johanna Nusselder, Herman Van Oyen, Geert Molenberghs:
addhaz: Contribution of Chronic Diseases to the Disability Burden Using R. R J. 10(2): 75 (2018) - 2016
- [j23]George Kalema, Samuel Iddi, Geert Molenberghs:
The Combined Model: A Tool for Simulating Correlated Counts with Overdispersion. Commun. Stat. Simul. Comput. 45(7): 2491-2510 (2016) - [j22]George Kalema, Geert Molenberghs, Wondwosen Kassahun:
Second-order generalized estimating equations for correlated count data. Comput. Stat. 31(2): 749-770 (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 - 2015
- [j21]Mehreteab Aregay, Ziv Shkedy, Geert Molenberghs:
Comparison of Additive and Multiplicative Bayesian Models for Longitudinal Count Data with Overdispersion Parameters: A Simulation Study. Commun. Stat. Simul. Comput. 44(2): 454-473 (2015) - [j20]Anne-Françoise Donneau, Murielle Mauer, Geert Molenberghs, Adelin Albert:
A Simulation Study Comparing Multiple Imputation Methods for Incomplete Longitudinal Ordinal Data. Commun. Stat. Simul. Comput. 44(5): 1311-1338 (2015) - 2014
- [j19]Nazanin Nooraee, Geert Molenberghs, Edwin R. van den Heuvel:
GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN. Comput. Stat. Data Anal. 77: 70-83 (2014) - 2013
- [j18]Mehreteab Aregay, Ziv Shkedy, Geert Molenberghs:
A hierarchical Bayesian approach for the analysis of longitudinal count data with overdispersion: A simulation study. Comput. Stat. Data Anal. 57(1): 233-245 (2013) - [j17]Dan Lin, Abel Tilahun, José Cortiñas Abrahantes, Ziv Shkedy, Geert Molenberghs, Hinrich W. H. Göhlmann, Willem Talloen, Luc Bijnens:
Comparison of methods for the selection of genomic biomarkers. Int. J. Data Min. Bioinform. 8(1): 24-41 (2013) - 2012
- [j16]An Creemers, Marc Aerts, Niel Hens, Geert Molenberghs:
A nonparametric approach to weighted estimating equations for regression analysis with missing covariates. Comput. Stat. Data Anal. 56(1): 100-113 (2012) - [j15]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) - [j14]Samuel Iddi, Geert Molenberghs:
A combined overdispersed and marginalized multilevel model. Comput. Stat. Data Anal. 56(6): 1944-1951 (2012) - [j13]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
- [j12]Cristina Sotto, Caroline Beunckens, Geert Molenberghs, Michael G. Kenward:
MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness. Comput. Stat. Data Anal. 55(1): 301-311 (2011) - [j11]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) - [r3]Geert Molenberghs:
Incomplete Data in Clinical and Epidemiological Studies. International Encyclopedia of Statistical Science 2011: 655-656 - [r2]Geert Molenberghs:
Linear Mixed Models. International Encyclopedia of Statistical Science 2011: 744-746 - [r1]Geert Molenberghs:
Repeated Measures. International Encyclopedia of Statistical Science 2011: 1221-1222 - 2010
- [j10]Geert Molenberghs, Michael G. Kenward:
Semi-parametric marginal models for hierarchical data and their corresponding full models. Comput. Stat. Data Anal. 54(2): 585-597 (2010) - [j9]Assam Pryseley, Abel Tilahun, Ariel Alonso Abad, Geert Molenberghs:
Using earlier measures in a longitudinal sequence as a potential surrogate for a later one. Comput. Stat. Data Anal. 54(5): 1342-1354 (2010)
2000 – 2009
- 2008
- [j8]Caroline Beunckens, Cristina Sotto, Geert Molenberghs:
A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data. Comput. Stat. Data Anal. 52(3): 1533-1548 (2008) - [j7]Ariel Alonso Abad, S. Litière, Geert Molenberghs:
A family of tests to detect misspecifications in the random-effects structure of generalized linear mixed models. Comput. Stat. Data Anal. 52(9): 4474-4486 (2008) - 2007
- [j6]Abel Tilahun, Assam Pryseley, Ariel Alonso Abad, Geert Molenberghs:
Flexible surrogate marker evaluation from several randomized clinical trials with continuous endpoints, using R and SAS. Comput. Stat. Data Anal. 51(9): 4152-4163 (2007) - 2006
- [j5]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) - [j4]Christel Faes, Helena Geys, Marc Aerts, Geert Molenberghs:
A hierarchical modeling approach for risk assessment in developmental toxicity studies. Comput. Stat. Data Anal. 51(3): 1848-1861 (2006) - 2005
- [j3]Niel Hens, Marc Aerts, Geert Molenberghs, Herbert Thijs, Geert Verbeke:
Kernel weighted influence measures. Comput. Stat. Data Anal. 48(3): 467-487 (2005) - 2004
- [j2]Didier Renard, Geert Molenberghs, Helena Geys:
A pairwise likelihood approach to estimation in multilevel probit models. Comput. Stat. Data Anal. 44(4): 649-667 (2004) - [j1]José Cortiñas Abrahantes, Geert Molenberghs, Tomasz Burzykowski, Ziv Shkedy, Ariel Alonso Abad, Didier Renard:
Choice of units of analysis and modeling strategies in multilevel hierarchical models. Comput. Stat. Data Anal. 47(3): 537-563 (2004)
1990 – 1999
- 1998
- [c1]Geert Molenberghs, Helena Geys, Lieven Declerck, Gerda Claeskens, Marc Aerts:
Analysis of Clustered Multivariate Data from Developmental Toxicity Studies. COMPSTAT 1998: 3-14
Coauthor Index
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