Geert Molenberghs

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 14

Top Topics

Hierarchical Models

Top Venues

Commun. Stat. Simul. Comput.

Comput. Stat. Data Anal.

Publications

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 (2024)
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) (2024)
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) (2022)
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 (2022)
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)
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 (2020)
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) (2019)
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) (2019)
Ben Berckmoes, Anna Ivanova, Geert Molenberghs
On the sample mean after a group sequential trial. Comput. Stat. Data Anal. 125 (2018)
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) (2018)
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) (2018)
George Kalema, Geert Molenberghs, Wondwosen Kassahun
Second-order generalized estimating equations for correlated count data. Comput. Stat. 31 (2) (2016)
George Kalema, Samuel Iddi, Geert Molenberghs
The Combined Model: A Tool for Simulating Correlated Counts with Overdispersion. Commun. Stat. Simul. Comput. 45 (7) (2016)
Vahid Nassiri, Geert Molenberghs, Geert Verbeke
Finite information limit variance-covariance structures: Is the entire dataset needed for analysis? HPCS (2016)
A. F. Donneau, M. Mauer, Geert Molenberghs, A. Albert
A Simulation Study Comparing Multiple Imputation Methods for Incomplete Longitudinal Ordinal Data. Commun. Stat. Simul. Comput. 44 (5) (2015)
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) (2015)
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 (2014)
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) (2013)
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) (2013)
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) (2012)
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 (2012)
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) (2012)
Samuel Iddi, Geert Molenberghs
A combined overdispersed and marginalized multilevel model. Comput. Stat. Data Anal. 56 (6) (2012)
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) (2011)
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) (2011)
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) (2010)
Geert Molenberghs, Michael G. Kenward
Semi-parametric marginal models for hierarchical data and their corresponding full models. Comput. Stat. Data Anal. 54 (2) (2010)
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) (2008)
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) (2008)
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) (2007)
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) (2006)
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) (2006)
Niel Hens, Marc Aerts, Geert Molenberghs, Herbert Thijs, Geert Verbeke
Kernel weighted influence measures. Comput. Stat. Data Anal. 48 (3) (2005)
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) (2004)
Didier Renard, Geert Molenberghs, Helena Geys
A pairwise likelihood approach to estimation in multilevel probit models. Comput. Stat. Data Anal. 44 (4) (2004)
Geert Molenberghs, Helena Geys, Lieven Declerck, Gerda Claeskens, Marc Aerts
Analysis of Clustered Multivariate Data from Developmental Toxicity Studies. COMPSTAT (1998)