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Christel Faes

Showing results (51-60 of 174) with videos related to

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Frontiers in Public Health|November 29, 2023
Key risk factors associated with fractal dimension based geographical clustering of COVID-19 data in the Flemish and Brussels region, BelgiumYessika Adelwin Natalia, Christel Faes, Thomas Neyens, et al.
Statistics in Medicine|April 25, 2015
Multi-disease analysis of maternal antibody decay using non-linear mixed models accounting for censoringNele Goeyvaerts, Elke Leuridan, Christel Faes, et al.
Toxicology|November 23, 2006
Chronic exposure of mice to environmentally relevant, low doses of cadmium leads to early renal damage, not predicted by blood or urine cadmium levelsSandy Thijssen, John Maringwa, Christel Faes, et al.
Plos Computational Biology|October 10, 2022
EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction numberOswaldo Gressani, Jacco Wallinga, Christian L Althaus, et al.
Biostatistics (Oxford, England)|March 20, 2023
Cohort-based smoothing methods for age-specific contact ratesYannick Vandendijck, Oswaldo Gressani, Christel Faes, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis|April 19, 2008
Human salmonellosis: estimation of dose-illness from outbreak dataKaatje Bollaerts, Marc Aerts, Christel Faes, et al.
Preventive Veterinary Medicine|June 3, 2014
Exploring cattle movements in BelgiumChellafe Ensoy, Christel Faes, Sarah Welby, et al.
Statistics in Medicine|September 3, 2020
On the impact of residential history in the spatial analysis of diseases with a long latency period: A study of mesothelioma in BelgiumOana Petrof, Thomas Neyens, Valerie Nuyts, et al.
Pharmaceutical Statistics|July 21, 2018
A Bayesian K-PD model for synergy: A case studyFabiola La Gamba, Tom Jacobs, Helena Geys, et al.
The Journal of Antimicrobial Chemotherapy|November 19, 2011
Analysing the composition of outpatient antibiotic use: a tutorial on compositional data analysisChristel Faes, Geert Molenberghs, Niel Hens, et al.
Pageof 18

Showing results (51-60 of 174) with videos related to

Sort By:
Pageof 18
Frontiers in Public Health|November 29, 2023
Key risk factors associated with fractal dimension based geographical clustering of COVID-19 data in the Flemish and Brussels region, BelgiumYessika Adelwin Natalia, Christel Faes, Thomas Neyens, et al.
Statistics in Medicine|April 25, 2015
Multi-disease analysis of maternal antibody decay using non-linear mixed models accounting for censoringNele Goeyvaerts, Elke Leuridan, Christel Faes, et al.
Toxicology|November 23, 2006
Chronic exposure of mice to environmentally relevant, low doses of cadmium leads to early renal damage, not predicted by blood or urine cadmium levelsSandy Thijssen, John Maringwa, Christel Faes, et al.
Plos Computational Biology|October 10, 2022
EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction numberOswaldo Gressani, Jacco Wallinga, Christian L Althaus, et al.
Biostatistics (Oxford, England)|March 20, 2023
Cohort-based smoothing methods for age-specific contact ratesYannick Vandendijck, Oswaldo Gressani, Christel Faes, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis|April 19, 2008
Human salmonellosis: estimation of dose-illness from outbreak dataKaatje Bollaerts, Marc Aerts, Christel Faes, et al.
Preventive Veterinary Medicine|June 3, 2014
Exploring cattle movements in BelgiumChellafe Ensoy, Christel Faes, Sarah Welby, et al.
Statistics in Medicine|September 3, 2020
On the impact of residential history in the spatial analysis of diseases with a long latency period: A study of mesothelioma in BelgiumOana Petrof, Thomas Neyens, Valerie Nuyts, et al.
Pharmaceutical Statistics|July 21, 2018
A Bayesian K-PD model for synergy: A case studyFabiola La Gamba, Tom Jacobs, Helena Geys, et al.
The Journal of Antimicrobial Chemotherapy|November 19, 2011
Analysing the composition of outpatient antibiotic use: a tutorial on compositional data analysisChristel Faes, Geert Molenberghs, Niel Hens, et al.
Pageof 18