C Faes

Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping.

A B Lawson, R Carroll, C Faes, 2015, Spatial and spatio-temporal epidemiology.

Spatiotemporal multivariate mixture models for Bayesian model selection in disease mapping

A B Lawson, R Carroll, C Faes, 2017, Environmetrics.

Spatial small area smoothing models for handling survey data with nonresponse

R Carroll, C Faes, R S Kirby, 2017, Statistics in medicine.

Model-based inference for small area estimation with sampling weights.

N Hens, C Faes, R S Kirby, 2016, Spatial statistics.

Miscoding: a threat to the hospital care system. How to detect it?

C Faes, C. Faes, W. Aelvoet, 2009, Revue d'epidemiologie et de sante publique.

Seventy-five years of estimating the force of infection from current status data

N Hens, M Aerts, Z Shkedy, 2009, Epidemiology and Infection.

Estimating the population prevalence and force of infection directly from antibody titres

N Hens, M Aerts, Z Shkedy, 2012 .

Serological diagnosis of bovine neosporosis: a Bayesian evaluation of two antibody ELISA tests for in vivo diagnosis in purchased and abortion cattle

C Faes, Y Van der Stede, C. Faes, 2015, Veterinary Record.