Christel Faes

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Handling missing data when modelling the force of infection

Christel Faes, Niel Hens, Christel Faes, 2004 .

Flexible Modelling of Correlated Multivariate Data with Applications in Animal Studies.

Christel Faes, C. Faes, 2004 .

Multiscale modeling approach for hierarchical aligned aggregated small area health data

Andrew B. Lawson, Christel Faes, Rachel Carroll, 2016, SIGSPACIAL.

A hierarchical modeling approach for risk assessment in developmental toxicity studies

Geert Molenberghs, Helena Geys, Christel Faes, 2006, Comput. Stat. Data Anal..

Comparison of different software implementations for spatial disease mapping.

Christel Faes, Thomas Neyens, M. Vranckx, 2019, Spatial and spatio-temporal epidemiology.

Enhancing Discovered Process Models Using Bayesian Inference and MCMC

Benoît Depaire, Gert Janssenswillen, Christel Faes, 2020, Business Process Management Workshops.

Spatial smoothing models to deal with the complex sampling design and nonresponse in the Florida BRFSS survey.

Christel Faes, Kevin Watjou, Yannick Vandendijck, 2019, Spatial and spatio-temporal epidemiology.

Joint models of discrete and continuous longitudinal data

Helena Geys, Christel Faes, Paul J. Catalano, 2008 .

Dataset for: Spatio-temporal multivariate mixture models for Bayesian model selection in disease mapping

Wiley Admin, Andrew B. Lawson, Christel Faes, 2017 .

Joint Modelling for Longitudinal and Time-to-Event Data: Application to Liver Transplantation Data

Carmen Cadarso-Suárez, Christel Faes, Francisco Gude, 2014, ICCSA.

Assessing the Predictive Performance of Survival Models with Longitudinal Data

Carmen Cadarso-Suárez, Christel Faes, Francisco Gude, 2017, ICCSA.

Bayesian sequential integration within a preclinical pharmacokinetic and pharmacodynamic modeling framework: Lessons learned

Moreno Ursino, Thomas Jaki, Helena Geys, 2019, Pharmaceutical statistics.

Bayesian multiscale modeling for aggregated disease mapping data

Andrew B. Lawson, Christel Faes, Russell S. Kirby, 2014, HealthGIS '14.

Integrated nested Laplace approximation for the analysis of count data via the combined model: A simulation study

Geert Molenberghs, Christel Faes, Thomas Neyens, 2019, Commun. Stat. Simul. Comput..

Variational Bayesian Inference for Parametric and Non-Parametric Regression with Missing Predictor Data

John T. Ormerod, Christel Faes, Matt P. Wand, 2012 .

Modeling combined continuous and ordinal outcomes in a clustered setting

Geert Molenberghs, Helena Geys, Christel Faes, 2004 .