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Geert Molenberghs

Geert Molenberghs

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Mathematics
Belgium
2026

D-Index & Metrics

Mathematics

D-Index
85
Citations
36817
World Ranking
104
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Mathematics in Belgium Leader Award
  • 2025 - Research.com Mathematics in Belgium Leader Award
  • 2023 - Research.com Mathematics in Belgium Leader Award
  • 2003 - Fellow of the American Statistical Association (ASA)

Overview

Geert Molenberghs is a researcher affiliated with KU Leuven in Belgium, with expertise spanning medicine and mathematics. Their work primarily focuses on statistical methods and modeling related to epidemiology and clinical trials.

Their main fields of study comprise Medicine and Mathematics, with notable contributions to subfields such as Statistics and Probability, Modeling and Simulation, Infectious Diseases, Economics and Econometrics, and Genetics.

The following topics represent major areas of their research:

  • COVID-19 epidemiological studies
  • Statistical Methods and Bayesian Inference
  • Statistical Methods in Clinical Trials
  • Statistical Methods and Inference
  • Advanced Causal Inference Techniques
  • SARS-CoV-2 and COVID-19 Research
  • COVID-19 and Mental Health

Geert Molenberghs frequently publishes in venues including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Antimicrobial Chemotherapy
  • PLoS ONE
  • Statistical Modelling
  • Research Square (Research Square)

Their recent significant papers include:

  • Incidence, prevalence, and co-occurrence of autoimmune disorders over time and by age, sex, and socioeconomic status: a population-based cohort study of 22 million individuals in the UK, 2023, The Lancet
  • Autoimmune diseases and cardiovascular risk: a population-based study on 19 autoimmune diseases and 12 cardiovascular diseases in 22 million individuals in the UK, 2022, The Lancet
  • Internal mixing of rotating stars inferred from dipole gravity modes, 2021, Nature Astronomy
  • Ziritaxestat, a Novel Autotaxin Inhibitor, and Lung Function in Idiopathic Pulmonary Fibrosis, 2023, JAMA
  • Consumption of antibiotics in the community, European Union/European Economic Area, 1997-2017, 2021, Journal of Antimicrobial Chemotherapy

The scientist collaborates frequently with colleagues such as Geert Verbeke, Niel Hens, Christel Faes, Johan Verbeeck, and Thomas Neyens, with collaboration counts ranging from 24 to 45 publications each.

Geert Molenberghs has been recognized as a Fellow of the American Statistical Association (ASA) since 2003.

Best Publications

  • Linear Mixed Models for Longitudinal Data

    Geert Verbeke;Geert Molenberghs

  • Models for Discrete Longitudinal Data

    Geert Molenberghs;Geert Verbeke

  • The Prevention and Treatment of Missing Data in Clinical Trials

    Roderick J. Little;Ralph D'Agostino;Michael L. Cohen;Kay Dickersin

  • Missing Data in Clinical Studies

    Geert. Molenberghs;Michael G. Kenward

  • Linear Mixed Models in Practice: A SAS-Oriented Approach

    Geert Verbeke;Geert Molenberghs

  • The dysphonia severity index: an objective measure of vocal quality based on a multiparameter approach

    Floris L. Wuyts;Marc S. De Bodt;Geert Molenberghs;Marc Remacle

  • The validation of surrogate endpoints in meta-analyses of randomized experiments

    M. Buyse;G. Molenberghs;T. Burzykowski;D. Renard

  • Linear Mixed Models in Practice

    Geert Verbeke;Geert Molenberghs

  • Missing data methods in longitudinal studies: a review

    Joseph G. Ibrahim;Geert Molenberghs

  • Longitudinal data analysis

    Geert Molenberghs;Geert Molenberghs;Geert Verbeke;Geert Verbeke

  • Analyzing incomplete longitudinal clinical trial data

    Geert Molenberghs;Herbert Thijs;Ivy Jansen;Caroline Beunckens

  • Criteria for the validation of surrogate endpoints in randomized experiments

    Marc Buyse;Geert Molenberghs

  • Marginal Modeling of Correlated Ordinal Data Using a Multivariate Plackett Distribution

    Geert Molenberghs;Emmanuel Lesaffre

  • Handbook of Missing Data Methodology

    Geert. Molenberghs;Garrett M. Fitzmaurice;Michael G. Kenward;Anastasios A. Tsiatis

  • The analysis of multivariate longitudinal data: a review.

    Geert Verbeke;Steffen Fieuws;Geert Molenberghs;Geert Molenberghs;Marie Davidian

  • The use of score tests for inference on variance components.

    Geert Verbeke;Geert Molenberghs

  • Assessing and interpreting treatment effects in longitudinal clinical trials with missing data

    Craig H Mallinckrodt;Todd M Sanger;Sanjay Dubé;Sanjay Dubé;David J DeBrota

  • Every missingness not at random model has a missingness at random counterpart with equal fit

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

  • Analyses of the short- and long-term graft survival after kidney transplantation in Europe between 1986 and 2015

    Maarten Coemans;Caner Süsal;Bernd Döhler;Dany Anglicheau

  • The analysis of longitudinal ordinal data with nonrandom drop-out

    Geert Molenberghs;Michael Kenward;Emmanuel Lesaffre

  • Likelihood Ratio, Score, and Wald Tests in a Constrained Parameter Space

    Geert Molenberghs;Geert Verbeke

  • Random Effects Models for Longitudinal Data

    Geert Verbeke;Geert Molenberghs;Dimitris Rizopoulos

  • Applied Longitudinal Analysis

    Geert Molenberghs

Frequent Co-Authors

Michael G. Kenward
Michael G. Kenward London School of Hygiene & Tropical Medicine
Niel Hens
Niel Hens Hasselt University
Marc Buyse
Marc Buyse Hasselt University
Stuart R. Lipsitz
Stuart R. Lipsitz Brigham and Women's Hospital
Conny Aerts
Conny Aerts KU Leuven
Garrett M. Fitzmaurice
Garrett M. Fitzmaurice Harvard University
Herman Goossens
Herman Goossens University of Antwerp
Marie Davidian
Marie Davidian North Carolina State University
Joseph G. Ibrahim
Joseph G. Ibrahim University of North Carolina at Chapel Hill
Frank Buntinx
Frank Buntinx KU Leuven

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