Geert Molenberghs

According to our database, Geert Molenberghs authored at least 39 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A normal-probit-binomial model for the analysis of repeated sum scores from multi-item questionnaires.

Nazanin Nooraee, Geert Molenberghs, Johan Ormel, Edwin R. van den Heuvel

Commun. Stat. Simul. Comput., June, 2024

Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease.

Joakim Nyberg, Andrew C. Hooker, Georg Zimmermann, Johan Verbeeck, Martin Geroldinger, Konstantin Emil Thiel, Geert Molenberghs, Martin Laimer, Verena Wally

Comput. Stat. Data Anal., 2024

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

An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework.

Alvaro Jóse Flórez, Geert Molenberghs, Wim Van Der Elst, Ariel Alonso Abad

Comput. Stat. Data Anal., 2022

2020

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

Generating random correlation matrices with fixed values: An application to the evaluation of multivariate surrogate endpoints.

Alvaro Jóse Flórez, Ariel Alonso Abad, Geert Molenberghs, Wim Van Der Elst

Comput. Stat. Data Anal., 2020

2019

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

Integrated nested Laplace approximation for the analysis of count data via the combined model: A simulation study.

Thomas Neyens, Christel Faes, Geert Molenberghs

Commun. Stat. Simul. Comput., 2019

2018

addhaz: Contribution of Chronic Diseases to the Disability Burden Using R.

Renata Tiene de Carvalho Yokota, Caspar Wn Looman, Wilma Johanna Nusselder, Herman Van Oyen, Geert Molenberghs

R J., 2018

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

On the sample mean after a group sequential trial.

Ben Berckmoes, Anna Ivanova, Geert Molenberghs

Comput. Stat. Data Anal., 2018

2016

Second-order generalized estimating equations for correlated count data.

George Kalema, Geert Molenberghs, Wondwosen Kassahun

Comput. Stat., 2016

The Combined Model: A Tool for Simulating Correlated Counts with Overdispersion.

George Kalema, Samuel Iddi, Geert Molenberghs

Commun. Stat. Simul. Comput., 2016

Finite information limit variance-covariance structures: Is the entire dataset needed for analysis?

Vahid Nassiri, Geert Molenberghs, Geert Verbeke

Proceedings of the International Conference on High Performance Computing & Simulation, 2016

2015

A Simulation Study Comparing Multiple Imputation Methods for Incomplete Longitudinal Ordinal Data.

Anne-Françoise Donneau, Murielle Mauer, Geert Molenberghs, Adelin Albert

Commun. Stat. Simul. Comput., 2015

Comparison of Additive and Multiplicative Bayesian Models for Longitudinal Count Data with Overdispersion Parameters: A Simulation Study.

Mehreteab Aregay, Ziv Shkedy, Geert Molenberghs

Commun. Stat. Simul. Comput., 2015

2014

GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN.

Nazanin Nooraee, Geert Molenberghs, Edwin R. van den Heuvel

Comput. Stat. Data Anal., 2014

2013

Comparison of methods for the selection of genomic biomarkers.

Dan Lin, Abel Tilahun, José Cortiñas Abrahantes, Ziv Shkedy, Geert Molenberghs, Hinrich W. H. Göhlmann, Willem Talloen, Luc Bijnens

Int. J. Data Min. Bioinform., 2013

A hierarchical Bayesian approach for the analysis of longitudinal count data with overdispersion: A simulation study.

Mehreteab Aregay, Ziv Shkedy, Geert Molenberghs

Comput. Stat. Data Anal., 2013

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

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 overdispersed and marginalized multilevel model.

Samuel Iddi, Geert Molenberghs

Comput. Stat. Data Anal., 2012

A nonparametric approach to weighted estimating equations for regression analysis with missing covariates.

An Creemers, Marc Aerts, Niel Hens, Geert Molenberghs

Comput. Stat. Data Anal., 2012

2011

Repeated Measures.

Geert Molenberghs

Proceedings of the International Encyclopedia of Statistical Science, 2011

Linear Mixed Models.

Geert Molenberghs

Proceedings of the International Encyclopedia of Statistical Science, 2011

Incomplete Data in Clinical and Epidemiological Studies.

Geert Molenberghs

Proceedings of the International Encyclopedia of Statistical Science, 2011

MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness.

Cristina Sotto, Caroline Beunckens, Geert Molenberghs, Michael G. Kenward

Comput. Stat. Data Anal., 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

2010

Using earlier measures in a longitudinal sequence as a potential surrogate for a later one.

Assam Pryseley, Abel Tilahun, Ariel Alonso Abad, Geert Molenberghs

Comput. Stat. Data Anal., 2010

Semi-parametric marginal models for hierarchical data and their corresponding full models.

Geert Molenberghs, Michael G. Kenward

Comput. Stat. Data Anal., 2010

2008

A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data.

Caroline Beunckens, Cristina Sotto, Geert Molenberghs

Comput. Stat. Data Anal., 2008

A family of tests to detect misspecifications in the random-effects structure of generalized linear mixed models.

Ariel Alonso Abad, S. Litière, Geert Molenberghs

Comput. Stat. Data Anal., 2008

2007

Flexible surrogate marker evaluation from several randomized clinical trials with continuous endpoints, using R and SAS.

Abel Tilahun, Assam Pryseley, Ariel Alonso Abad, Geert Molenberghs

Comput. Stat. Data Anal., 2007

2006

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

A hierarchical modeling approach for risk assessment in developmental toxicity studies.

Christel Faes, Helena Geys, Marc Aerts, Geert Molenberghs

Comput. Stat. Data Anal., 2006

2005

Kernel weighted influence measures.

Niel Hens, Marc Aerts, Geert Molenberghs, Herbert Thijs, Geert Verbeke

Comput. Stat. Data Anal., 2005

2004

A pairwise likelihood approach to estimation in multilevel probit models.

Didier Renard, Geert Molenberghs, Helena Geys

Comput. Stat. Data Anal., 2004

Choice of units of analysis and modeling strategies in multilevel hierarchical models.

José Cortiñas Abrahantes, Geert Molenberghs, Tomasz Burzykowski, Ziv Shkedy, Ariel Alonso Abad, Didier Renard

Comput. Stat. Data Anal., 2004

1998

Analysis of Clustered Multivariate Data from Developmental Toxicity Studies.

Geert Molenberghs, Helena Geys, Lieven Declerck, Gerda Claeskens, Marc Aerts

Proceedings of the COMPSTAT 1998, 1998