NEYENS, Thomas

Full Name
NEYENS, Thomas
Email
thomas.neyens@uhasselt.be
 
Loading... 5 0 5 0 false
Loading... 6 0 5 0 false

Publications

Refined By:
Author:  MOLENBERGHS, Geert

Results 1-17 of 17 (Search time: 0.006 seconds).

Issue DateTitleContributor(s)TypeCat.
12023Fractal dimension based geographical clustering of COVID-19 time series dataNATALIA, Yessika; FAES, Christel; NEYENS, Thomas; Chys, Pieter; Hammami, Naïma; MOLENBERGHS, GeertJournal ContributionA1
22023Key risk factors associated with fractal dimension based geographical clustering of COVID-19 data in the Flemish and Brussels region, BelgiumNATALIA, Yessika; FAES, Christel; NEYENS, Thomas; Hammami, Naïma; MOLENBERGHS, GeertJournal ContributionA1
32023A multivariate spatio-temporal model for the incidence of imported COVID-19 cases and COVID-19 deaths in CubaDe Witte , Dries; ALONSO ABAD, Ariel; MOLENBERGHS, Geert; VERBEKE, Geert; SANCHEZ, Lizet; Mas-Bermejo, Pedro; NEYENS, ThomasJournal ContributionA1
42023A linear mixed model to estimate COVID-19-induced excess mortalityVERBEECK, Johan; FAES, Christel; NEYENS, Thomas; HENS, Niel; VERBEKE, Geert; Deboosere, Patrick; MOLENBERGHS, GeertJournal ContributionA1
52022The COVID-19 wave in Belgium during the Fall of 2020 and its association with higher educationNATALIA, Yessika; FAES, Christel; NEYENS, Thomas; MOLENBERGHS, Geert; Săndulescu, OanaJournal ContributionA1
62022The doubling effect of COVID-19 cases on key health indicatorsPETROF, Oana; FAJGENBLAT, Maxime; NEYENS, Thomas; MOLENBERGHS, Geert; FAES, Christel; Anjorin, AbdulAzeez AdeyemiJournal ContributionA1
72022A spatial model to jointly analyze self-reported survey data of COVID-19 symptoms and official COVID-19 incidence dataVRANCKX, Maren; FAES, Christel; MOLENBERGHS, Geert; HENS, Niel; Beutels, Philippe; Van Damme , Pierre; AERTS, Jan; PETROF, Oana; Pepermans, Koen; NEYENS, ThomasJournal ContributionA1
82022Estimating COVID-19-Related Excess Mortality Excluding Seasonal Phenomena in BelgiumVERBEECK, Johan; FAJGENBLAT, Maxime; WILLEM, Lander; NEYENS, Thomas; FAES, Christel; HENS, Niel; Deboosere, Patrick; VERBEKE, Geert; MOLENBERGHS, GeertJournal ContributionA1
92020Infectious diseases epidemiology, quantitative methodology, and clinical research in the midst of the COVID-19 pandemic: Perspective from a European countryMOLENBERGHS, Geert; BUYSE, Marc; ABRAMS, Steven; HENS, Niel; Beutels, Philippe; FAES, Christel; VERBEKE, Geert; Van Damme, Pierre; Goossens, Herman; NEYENS, Thomas; HERZOG, Sereina; Theeten, Heidi; Pepermans, Koen; Abad, Ariel Alonso; VAN KEILEGOM, Ingrid; Speybroeck, Niko; LEGRAND, Catherine; De Buyser, Stefanie; Hulstaert, FrankJournal ContributionA1
102020Can COVID-19 symptoms as reported in a large-scale online survey be used to optimise spatial predictions of COVID-19 incidence risk in Belgium?NEYENS, Thomas; FAES, Christel; VRANCKX, Maren; Pepermans, K; HENS, Niel; Van Damme, P; MOLENBERGHS, Geert; AERTS, Jan; Beutels, PJournal ContributionA1
112019Integrated nested Laplace approximation as a new estimation method for the combined model: a simulation studyNEYENS, Thomas; FAES, Christel; MOLENBERGHS, GeertJournal ContributionA1
122018Response to comments on "Marginalized multilevel hurdle and zero-inflated models for overdispersed and correlated count data with excess zeros"MOLENBERGHS, Geert; Poveda, Alvaro Florez; KASSAHUN, Wondwosen; NEYENS, Thomas; FAES, Christel; VERBEKE, GeertJournal ContributionA1
132015A joint model for hierarchical continuous and zero-inflated overdispersed count dataKASSAHUN, Wondwosen; NEYENS, Thomas; MOLENBERGHS, Geert; FAES, Christel; VERBEKE, GeertJournal ContributionA1
142014Marginalized multilevel hurdle and zero-inflated models for overdispersed and correlated count data with excess zerosKASSAHUN, Wondwosen; NEYENS, Thomas; MOLENBERGHS, Geert; FAES, Christel; VERBEKE, GeertJournal ContributionA1
152014A Zero-inflated overdispersed hierarchical Poisson modelKASSAHUN, Wondwosen; NEYENS, Thomas; FAES, Christel; MOLENBERGHS, Geert; VERBEKE, GeertJournal ContributionA1
162012A generalized Poisson-gamma model for spatially overdispersed data.NEYENS, Thomas; FAES, Christel; MOLENBERGHS, GeertJournal ContributionA1
172012Modeling overdispersed longitudinal binary data using a combined beta and normal random-effects modelKASSAHUN, Wondwosen; NEYENS, Thomas; MOLENBERGHS, Geert; FAES, Christel; VERBEKE, GeertJournal ContributionA1