| SOCRATES-CoMix: a platform for timely and open-source contact mixing data during and in between COVID-19 surges and interventions in over 20 European countries F Verelst, L Hermans, S Vercruysse, A Gimma, P Coletti, JA Backer, ... BMC medicine 19 (1), 1-7, 2021 | 50 | 2021 |
| Epitweetr: Early warning of public health threats using Twitter data L Espinosa, A Wijermans, F Orchard, M Höhle, T Czernichow, P Coletti, ... Available at SSRN 3811673, 2021 | 27 | 2021 |
| The influence of risk perceptions on close contact frequency during the SARS-CoV-2 pandemic J Wambua, L Hermans, P Coletti, F Verelst, L Willem, C Jarvis, A Gimma, ... | 22 | 2021 |
| Unbalanced cluster sizes and rates of convergence in mixed-effects models for clustered data W Van der Elst, L Hermans, G Verbeke, MG Kenward, V Nassiri, ... Journal of Statistical Computation and Simulation 86 (11), 2123-2139, 2016 | 13 | 2016 |
| A tutorial on the practical use and implication of complete sufficient statistics L Hermans, G Molenberghs, M Aerts, MG Kenward, G Verbeke International Statistical Review 86 (3), 403-414, 2018 | 10 | 2018 |
| Fast, closed-form, and efficient estimators for hierarchical models with AR (1) covariance and unequal cluster sizes L Hermans, V Nassiri, G Molenberghs, MG Kenward, W Van der Elst, ... Communications in Statistics-Simulation and Computation 47 (5), 1492-1505, 2018 | 10 | 2018 |
| Clusters with random size: maximum likelihood versus weighted estimation L Hermans, V Nassiri, G Molenberghs, M Kenward, W Van Proceedings of the 30th International Workshop on Statistical Modelling …, 2015 | 9 | 2015 |
| Clusters with unequal size: Maximum likelihood versus weighted estimation in large samples L Hermans, V Nassiri, G Molenberghs, MG Kenward, W Van der Elst, ... Statistica Sinica 28 (3), 1107-1132, 2018 | 7 | 2018 |
| How to reliably diagnose arterial hypertension: lessons from 24 h blood pressure monitoring V Raymaekers, C Brenard, L Hermans, I Frederix, JA Staessen, ... Blood pressure 28 (2), 93-98, 2019 | 3 | 2019 |
| Doubly robust pseudo-likelihood for incomplete hierarchical binary data L Hermans, A Ivanova, C Sotto, G Molenberghs, G Verbeke, MG Kenward Statistical Modelling 20 (1), 42-57, 2020 | 2 | 2020 |
| Optimal weighted estimation versus Cochran–Mantel–Haenszel L Hermans, G Molenberghs, G Verbeke, MG Kenward, P Mamouris, ... Communications in Statistics-Simulation and Computation, 1-15, 2020 | 2 | 2020 |
| The influence of risk perceptions on close contact frequency during the SARS-CoV-2 pandemic (preprint) J Wambua, L Hermans, P Coletti, F Verelst, L Willem, C Jarvis, A Gimma, ... | | 2021 |
| Predictors of the usage of a cardiac-based e-learning platform in ischemic heart disease patients S Smeets, L Degryse, S Orole, I Frederix, T Vandenberk, A Geurden, ... ACTA CARDIOLOGICA 74, 69-69, 2019 | | 2019 |
| How to reliably diagnose arterial hypertension: lessons from 24-h blood pressure monitoring V Raymaekers, C Brenard, L Hermans, P Vanvoorden, I Frederix, ... Acta Cardiologica 72 (1), 120-121, 2017 | | 2017 |
| Sample splitting for analyzing hierarchical data: A compound-symmetry case study L Hermans, G Molenberghs, MG Kenward, W Van der Elst, V Nassiri | | |
| Inference With Unequal Cluster Sizes L Hermans | | |
| Statistical Issues With and Models for Data in Clusters of Random Size L Hermans, G Molenberghs, M Aerts, MG Kenward, G Verbeke | | |
Geert MOLENBERGHSUniversiteit Hasselt & KU Leuven在 uhasselt.be 的电子邮件经过验证
