Geert Molenberghs

41 papers Journal 36Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerating computation: A pairwise fitting technique for multivariate probit models. Comput. Stat. Data Anal. Margaux Delporte, Geert Verbeke, Steffen Fieuws, Geert Molenberghs
2025	J	`jnl`	Local Influence Diagnostics for Nonlinear Mixed Models under the Case-Weight Perturbation Scheme in J. Stat. Softw. Jhessica Leticia Kirch, Geert Molenberghs, Geert Verbeke, César Gonçalves de Lima
2024	J	`jnl`	A normal-probit-binomial model for the analysis of repeated sum scores from multi-item questionnaires. Commun. Stat. Simul. Comput. Nazanin Nooraee, Geert Molenberghs, Johan Ormel, Edwin R. van den Heuvel
2024	J	`jnl`	Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease. Comput. Stat. Data Anal. Joakim Nyberg, Andrew C. Hooker, Georg Zimmermann, Johan Verbeeck, Martin Geroldinger, Konstantin Emil Thiel, Geert Molenberghs, Martin Laimer, Verena Wally
2022	J	`jnl`	An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework. Comput. Stat. Data Anal. Alvaro Jóse Flórez, Geert Molenberghs, Wim Van Der Elst, Ariel Alonso Abad
2022	J	`jnl`	Optimal weighted estimation versus Cochran-Mantel-Haenszel. Commun. Stat. Simul. Comput. Lisa Hermans, Geert Molenberghs, Geert Verbeke, Michael G. Kenward, Pavlos Mamouris, Bert Vaes
2020	J	`jnl`	An interpretation of radial basis function networks as zero-mean Gaussian process emulators in cluster space. J. Comput. Appl. Math. Wim De Mulder, Geert Molenberghs, Geert Verbeke
2020	J	`jnl`	Generating random correlation matrices with fixed values: An application to the evaluation of multivariate surrogate endpoints. Comput. Stat. Data Anal. Alvaro Jóse Flórez, Ariel Alonso Abad, Geert Molenberghs, Wim Van Der Elst
2019	J	`jnl`	Extending Gaussian process emulation using cluster analysis and artificial neural networks to fit big training sets. J. Simulation Wim De Mulder, Bernhard Rengs, Geert Molenberghs, Thomas Fent, Geert Verbeke
2019	J	`jnl`	Integrated nested Laplace approximation for the analysis of count data via the combined model: A simulation study. Commun. Stat. Simul. Comput. Thomas Neyens, Christel Faes, Geert Molenberghs
2018	J	`jnl`	Fast, closed-form, and efficient estimators for hierarchical models with AR(1) covariance and unequal cluster sizes. Commun. Stat. Simul. Comput. Lisa Hermans, Vahid Nassiri, Geert Molenberghs, Michael G. Kenward, Simon Vander Elst, Marc Aerts, Geert Verbeke
2018	J	`jnl`	On the sample mean after a group sequential trial. Comput. Stat. Data Anal. Ben Berckmoes, Anna Ivanova, Geert Molenberghs
2018	J	`jnl`	addhaz: Contribution of Chronic Diseases to the Disability Burden Using R. R J. Renata Tiene de Carvalho Yokota, Caspar Wn Looman, Wilma Johanna Nusselder, Herman Van Oyen, Geert Molenberghs
2016	—	`conf`	Finite information limit variance-covariance structures: Is the entire dataset needed for analysis? HPCS Vahid Nassiri, Geert Molenberghs, Geert Verbeke
2016	J	`jnl`	Second-order generalized estimating equations for correlated count data. Comput. Stat. George Kalema, Geert Molenberghs, Wondwosen Kassahun
2016	J	`jnl`	The Combined Model: A Tool for Simulating Correlated Counts with Overdispersion. Commun. Stat. Simul. Comput. George Kalema, Samuel Iddi, Geert Molenberghs
2015	J	`jnl`	A Simulation Study Comparing Multiple Imputation Methods for Incomplete Longitudinal Ordinal Data. Commun. Stat. Simul. Comput. Anne-Françoise Donneau, Murielle Mauer, Geert Molenberghs, Adelin Albert
2015	J	`jnl`	Comparison of Additive and Multiplicative Bayesian Models for Longitudinal Count Data with Overdispersion Parameters: A Simulation Study. Commun. Stat. Simul. Comput. Mehreteab Aregay, Ziv Shkedy, Geert Molenberghs
2014	J	`jnl`	GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN. Comput. Stat. Data Anal. Nazanin Nooraee, Geert Molenberghs, Edwin R. van den Heuvel
2013	J	`jnl`	A hierarchical Bayesian approach for the analysis of longitudinal count data with overdispersion: A simulation study. Comput. Stat. Data Anal. Mehreteab Aregay, Ziv Shkedy, Geert Molenberghs
2013	J	`jnl`	Comparison of methods for the selection of genomic biomarkers. Int. J. Data Min. Bioinform. Dan Lin, Abel Tilahun, José Cortiñas Abrahantes, Ziv Shkedy, Geert Molenberghs, Hinrich W. H. Göhlmann, Willem Talloen, Luc Bijnens
2012	J	`jnl`	A combined beta and normal random-effects model for repeated, overdispersed binary and binomial data. J. Multivar. Anal. Geert Molenberghs, Geert Verbeke, Samuel Iddi, Clarice G. B. Demétrio
2012	J	`jnl`	A combined overdispersed and marginalized multilevel model. Comput. Stat. Data Anal. Samuel Iddi, Geert Molenberghs
2012	J	`jnl`	A mixed effects least squares support vector machine model for classification of longitudinal data. Comput. Stat. Data Anal. Jan Luts, Geert Molenberghs, Geert Verbeke, Sabine Van Huffel, Johan A. K. Suykens
2012	J	`jnl`	A nonparametric approach to weighted estimating equations for regression analysis with missing covariates. Comput. Stat. Data Anal. An Creemers, Marc Aerts, Niel Hens, Geert Molenberghs
2011	J	`jnl`	Estimating negative variance components from Gaussian and non-Gaussian data: A mixed models approach. Comput. Stat. Data Anal. Assam Pryseley, Clotaire Tchonlafi, Geert Verbeke, Geert Molenberghs
2011	—	`ch.`	Incomplete Data in Clinical and Epidemiological Studies. International Encyclopedia of Statistical Science Geert Molenberghs
2011	—	`ch.`	Linear Mixed Models. International Encyclopedia of Statistical Science Geert Molenberghs
2011	J	`jnl`	MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness. Comput. Stat. Data Anal. Cristina Sotto, Caroline Beunckens, Geert Molenberghs, Michael G. Kenward
2011	—	`ch.`	Repeated Measures. International Encyclopedia of Statistical Science Geert Molenberghs
2010	J	`jnl`	Semi-parametric marginal models for hierarchical data and their corresponding full models. Comput. Stat. Data Anal. Geert Molenberghs, Michael G. Kenward
2010	J	`jnl`	Using earlier measures in a longitudinal sequence as a potential surrogate for a later one. Comput. Stat. Data Anal. Assam Pryseley, Abel Tilahun, Ariel Alonso Abad, Geert Molenberghs
2008	J	`jnl`	A family of tests to detect misspecifications in the random-effects structure of generalized linear mixed models. Comput. Stat. Data Anal. Ariel Alonso Abad, S. Litière, Geert Molenberghs
2008	J	`jnl`	A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data. Comput. Stat. Data Anal. Caroline Beunckens, Cristina Sotto, Geert Molenberghs
2007	J	`jnl`	Flexible surrogate marker evaluation from several randomized clinical trials with continuous endpoints, using R and SAS. Comput. Stat. Data Anal. Abel Tilahun, Assam Pryseley, Ariel Alonso Abad, Geert Molenberghs
2006	J	`jnl`	A hierarchical modeling approach for risk assessment in developmental toxicity studies. Comput. Stat. Data Anal. Christel Faes, Helena Geys, Marc Aerts, Geert Molenberghs
2006	J	`jnl`	The nature of sensitivity in monotone missing not at random models. Comput. Stat. Data Anal. Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aerts, Geert Verbeke, Michael G. Kenward
2005	J	`jnl`	Kernel weighted influence measures. Comput. Stat. Data Anal. Niel Hens, Marc Aerts, Geert Molenberghs, Herbert Thijs, Geert Verbeke
2004	J	`jnl`	A pairwise likelihood approach to estimation in multilevel probit models. Comput. Stat. Data Anal. Didier Renard, Geert Molenberghs, Helena Geys
2004	J	`jnl`	Choice of units of analysis and modeling strategies in multilevel hierarchical models. Comput. Stat. Data Anal. José Cortiñas Abrahantes, Geert Molenberghs, Tomasz Burzykowski, Ziv Shkedy, Ariel Alonso Abad, Didier Renard
1998	—	`conf`	Analysis of Clustered Multivariate Data from Developmental Toxicity Studies. COMPSTAT Geert Molenberghs, Helena Geys, Lieven Declerck, Gerda Claeskens, Marc Aerts