A hierarchical modeling approach for risk assessment in developmental toxicity studies. - Christel Faes; Helena Geys; Marc Aerts; Geert Molenberghs (Comput. Stat. Data Anal., 2006)

Bayesian multiscale modeling for aggregated disease mapping data. - Mehreteab Aregay; Andrew B. Lawson; Christel Faes; Russell S. Kirby (HealthGIS, 2014)

Joint Modelling for Longitudinal and Time-to-Event Data: Application to Liver Transplantation Data. - Ipek Guler; Laura Calaza-Díaz; Christel Faes; Carmen Cadarso-Suárez; Elena Giraldez; Francisco Gude (ICCSA (3), 2014)

Multiscale modeling approach for hierarchical aligned aggregated small area health data. - Mehreteab Aregay; Andrew B. Lawson; Christel Faes; Russell S. Kirby; Rachel B. Carroll; Kevin Watjou (ACM SIGSPATIAL Special, 2016)

Assessing the Predictive Performance of Survival Models with Longitudinal Data. - Ipek Guler; Christel Faes; Francisco Gude; Carmen Cadarso-Suárez (ICCSA (2), 2017)

Integrated nested Laplace approximation for the analysis of count data via the combined model: A simulation study. - Thomas Neyens; Christel Faes; Geert Molenberghs (Commun. Stat. Simul. Comput., 2019)

Enhancing Discovered Process Models Using Bayesian Inference and MCMC. - Gert Janssenswillen; Benoît Depaire; Christel Faes (Business Process Management Workshops, 2020)

On realized serial and generation intervals given control measures: The COVID-19 pandemic case. - Andrea Torneri; Pieter Libin; Gianpaolo Scalia Tomba; Christel Faes; James G. Wood; Niel Hens (PLoS Comput. Biol., 2021)

Inferring age-specific differences in susceptibility to and infectiousness upon SARS-CoV-2 infection based on Belgian social contact data. - Nicolas Franco; Pietro Coletti; Lander Willem; Leonardo Angeli; Adrien Lajot; Steven Abrams; Philippe Beutels; Christel Faes; Niel Hens (PLoS Comput. Biol., 2022)

EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction number. - Oswaldo Gressani; Jacco Wallinga; Christian L. Althaus; Niel Hens; Christel Faes (PLoS Comput. Biol., 2022)

Measures of spatial heterogeneity in the liver tissue micro-environment as predictive factors for fibrosis score. - Annelies Agten; Alfonso Blázquez-Moreno; Marjolein Crabbe; Marianne Tuefferd; Hinrich Goehlmann; Helena Geys; Cheng-Yuan Peng; Jari Claes; Thomas Neyens; Christel Faes (Comput. Biol. Medicine, 2023)

The influence of resolution on the predictive power of spatial heterogeneity measures as biomarkers of liver fibrosis. - Jari Claes; Annelies Agten; Alfonso Blázquez-Moreno; Marjolein Crabbe; Marianne Tuefferd; Hinrich Goehlmann; Helena Geys; Cheng-Yuan Peng; Thomas Neyens; Christel Faes (Comput. Biol. Medicine, 2024)

Bayesian Nowcasting with Laplacian-P-Splines. - Bryan Sumalinab; Oswaldo Gressani; Niel Hens; Christel Faes (J. Comput. Graph. Stat., 2025)