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Christel Faes
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2020 – today
- 2024
- [j8]Jari Claes, Annelies Agten, Alfonso Blázquez-Moreno, Marjolein Crabbe, Marianne Tuefferd, Hinrich Goehlmann, Helena Geys, Cheng-Yuan Peng, Thomas Neyens, Christel Faes:
The influence of resolution on the predictive power of spatial heterogeneity measures as biomarkers of liver fibrosis. Comput. Biol. Medicine 171: 108231 (2024) - 2023
- [j7]Annelies Agten, Alfonso Blázquez-Moreno, Marjolein Crabbe, Marianne Tuefferd, Hinrich Goehlmann, Helena Geys, Cheng-Yuan Peng, Jari Claes, Thomas Neyens, Christel Faes:
Measures of spatial heterogeneity in the liver tissue micro-environment as predictive factors for fibrosis score. Comput. Biol. Medicine 165: 107382 (2023) - 2022
- [j6]Nicolas Franco, Pietro Coletti, Lander Willem, Leonardo Angeli, Adrien Lajot, Steven Abrams, Philippe Beutels, Christel Faes, Niel Hens:
Inferring age-specific differences in susceptibility to and infectiousness upon SARS-CoV-2 infection based on Belgian social contact data. PLoS Comput. Biol. 18(3) (2022) - [j5]Oswaldo Gressani, Jacco Wallinga, Christian L. Althaus, Niel Hens, Christel Faes:
EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction number. PLoS Comput. Biol. 18(10): 1010618 (2022) - 2021
- [j4]Andrea Torneri, Pieter Libin, Gianpaolo Scalia Tomba, Christel Faes, James G. Wood, Niel Hens:
On realized serial and generation intervals given control measures: The COVID-19 pandemic case. PLoS Comput. Biol. 17(3) (2021) - 2020
- [c4]Gert Janssenswillen, Benoît Depaire, Christel Faes:
Enhancing Discovered Process Models Using Bayesian Inference and MCMC. Business Process Management Workshops 2020: 295-307
2010 – 2019
- 2019
- [j3]Thomas Neyens, Christel Faes, Geert Molenberghs:
Integrated nested Laplace approximation for the analysis of count data via the combined model: A simulation study. Commun. Stat. Simul. Comput. 48(3): 819-836 (2019) - 2017
- [c3]Ipek Guler, Christel Faes, Francisco Gude, Carmen Cadarso-Suárez:
Assessing the Predictive Performance of Survival Models with Longitudinal Data. ICCSA (2) 2017: 621-631 - 2016
- [j2]Mehreteab Aregay, Andrew B. Lawson, Christel Faes, Russell S. Kirby, Rachel B. Carroll, Kevin Watjou:
Multiscale modeling approach for hierarchical aligned aggregated small area health data. ACM SIGSPATIAL Special 8(1): 12-19 (2016) - 2014
- [c2]Mehreteab Aregay, Andrew B. Lawson, Christel Faes, Russell S. Kirby:
Bayesian multiscale modeling for aggregated disease mapping data. HealthGIS 2014: 45-48 - [c1]Ipek Guler, Laura Calaza-Díaz, Christel Faes, Carmen Cadarso-Suárez, Elena Giraldez, Francisco Gude:
Joint Modelling for Longitudinal and Time-to-Event Data: Application to Liver Transplantation Data. ICCSA (3) 2014: 580-593
2000 – 2009
- 2006
- [j1]Christel Faes, Helena Geys, Marc Aerts, Geert Molenberghs:
A hierarchical modeling approach for risk assessment in developmental toxicity studies. Comput. Stat. Data Anal. 51(3): 1848-1861 (2006)
Coauthor Index
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