| Individual factors influencing COVID-19 vaccine acceptance in between and during pandemic waves (July–December 2020) S Valckx, J Crèvecoeur, F Verelst, M Vranckx, G Hendrickx, N Hens, ... Vaccine 40 (1), 151-161, 2022 | 49 | 2022 |
| Proximity of breeding and foraging areas affects foraging effort of a crepuscular, insectivorous bird R Evens, N Beenaerts, T Neyens, N Witters, K Smeets, T Artois Scientific reports 8 (1), 3008, 2018 | 46 | 2018 |
| A generalized Poisson-gamma model for spatially overdispersed data T Neyens, C Faes, G Molenberghs Spatial and spatio-temporal epidemiology 3 (3), 185-194, 2012 | 46 | 2012 |
| Marginalized multilevel hurdle and zero‐inflated models for overdispersed and correlated count data with excess zeros W Kassahun, T Neyens, G Molenberghs, C Faes, G Verbeke Statistics in medicine 33 (25), 4402-4419, 2014 | 44 | 2014 |
| Toxicity profiles and solvent–toxicant interference in the planarian Schmidtea mediterranea after dimethylsulfoxide (DMSO) exposure AS Stevens, N Pirotte, M Plusquin, M Willems, T Neyens, T Artois, ... Journal of Applied Toxicology 35 (3), 319-326, 2015 | 43 | 2015 |
| A zero-inflated overdispersed hierarchical Poisson model W Kassahun, T Neyens, C Faes, G Molenberghs, G Verbeke Statistical Modelling 14 (5), 439-456, 2014 | 39 | 2014 |
| A linear mixed model to estimate COVID-19-induced excess mortality J Verbeeck, C Faes, T Neyens, N Hens, G Verbeke, P Deboosere, ... Biometrics 79 (1), 417-425, 2023 | 27 | 2023 |
| Infectious diseases epidemiology, quantitative methodology, and clinical research in the midst of the COVID-19 pandemic: Perspective from a European country G Molenberghs, M Buyse, S Abrams, N Hens, P Beutels, C Faes, ... Contemporary Clinical Trials 99, 106189, 2020 | 25 | 2020 |
| A joint model for hierarchical continuous and zero-inflated overdispersed count data W Kassahun, T Neyens, G Molenberghs, C Faes, G Verbeke Journal of Statistical Computation and Simulation 85 (3), 552-571, 2015 | 24 | 2015 |
| DNA diet profiles with high‐resolution animal tracking data reveal levels of prey selection relative to habitat choice in a crepuscular insectivorous bird R Evens, G Conway, K Franklin, I Henderson, J Stockdale, N Beenaerts, ... Ecology and evolution 10 (23), 13044-13056, 2020 | 23 | 2020 |
| Modeling overdispersed longitudinal binary data using a combined beta and normal random-effects model W Kassahun, T Neyens, G Molenberghs, C Faes, G Verbeke Archives of Public Health 70, 1-13, 2012 | 23 | 2012 |
| The impact of the Covid-19 pandemic on the incidence of diseases and the provision of primary care: A registry-based study S Van den Bulck, J Crèvecoeur, B Aertgeerts, N Delvaux, T Neyens, ... PloS one 17 (7), e0271049, 2022 | 22 | 2022 |
| Disease mapping of zero-excessive mesothelioma data in Flanders T Neyens, AB Lawson, RS Kirby, V Nuyts, K Watjou, M Aregay, R Carroll, ... Annals of epidemiology 27 (1), 59-66. e3, 2017 | 21 | 2017 |
| Can COVID-19 symptoms as reported in a large-scale online survey be used to optimise spatial predictions of COVID-19 incidence risk in Belgium? T Neyens, C Faes, M Vranckx, K Pepermans, N Hens, P Van Damme, ... Spatial and Spatio-temporal Epidemiology 35, 100379, 2020 | 20 | 2020 |
| Mapping species richness using opportunistic samples: a case study on ground-floor bryophyte species richness in the Belgian province of Limburg T Neyens, PJ Diggle, C Faes, N Beenaerts, T Artois, E Giorgi Scientific Reports 9 (1), 19122, 2019 | 16 | 2019 |
| The COVID-19 wave in Belgium during the Fall of 2020 and its association with higher education YA Natalia, C Faes, T Neyens, G Molenberghs PLoS One 17 (2), e0264516, 2022 | 13 | 2022 |
| On the impact of residential history in the spatial analysis of diseases with a long latency period: A study of mesothelioma in Belgium O Petrof, T Neyens, V Nuyts, K Nackaerts, B Nemery, C Faes Statistics in Medicine 39 (26), 3840-3866, 2020 | 13 | 2020 |
| Comparison of different software implementations for spatial disease mapping M Vranckx, T Neyens, C Faes Spatial and Spatio-temporal Epidemiology 31, 100302, 2019 | 13 | 2019 |
| changing of the guard at Transplant International. T Berney, N Montserrat, M Naesens, S Schneeberger, MI Bellini, ... Transplant International 34 (4), 2021 | 11 | 2021 |
| The (in) stability of Bayesian model selection criteria in disease mapping M Vranckx, T Neyens, C Faes Spatial Statistics 43, 100502, 2021 | 10 | 2021 |
