| Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping R Carroll, AB Lawson, C Faes, RS Kirby, M Aregay, K Watjou Spatial and spatio-temporal epidemiology 14, 45-54, 2015 | 106 | 2015 |
| Bayesian multiscale modeling for aggregated disease mapping data M Aregay, AB Lawson, C Faes, R Kirby Proceedings of the Third ACM SIGSPATIAL International Workshop on the Use of …, 2014 | 26 | 2014 |
| Spatial small area smoothing models for handling survey data with nonresponse K Watjou, C Faes, A Lawson, RS Kirby, M Aregay, R Carroll, ... Statistics in medicine 36 (23), 3708-3745, 2017 | 24 | 2017 |
| Disease mapping of zero-excessive mesothelioma data in Flanders T Neyens, AB Lawson, RS Kirby, V Nuyts, K Watjou, M Aregay, R Carroll, ... Annals of epidemiology 27 (1), 59-66. e3, 2017 | 20 | 2017 |
| Spatio‐temporal Bayesian model selection for disease mapping R Carroll, AB Lawson, C Faes, RS Kirby, M Aregay, K Watjou Environmetrics 27 (8), 466-478, 2016 | 20 | 2016 |
| Model-based estimates of long-term persistence of induced HPV antibodies: a flexible subject-specific approach M Aregay, Z Shkedy, G Molenberghs, MP David, F Tibaldi Journal of Biopharmaceutical Statistics 23 (6), 1228-1248, 2013 | 19 | 2013 |
| Spatiotemporal multivariate mixture models for Bayesian model selection in disease mapping AB Lawson, R Carroll, C Faes, RS Kirby, M Aregay, K Watjou Environmetrics 28 (8), e2465, 2017 | 17 | 2017 |
| A hierarchical Bayesian approach for the analysis of longitudinal count data with overdispersion: a simulation study M Aregay, Z Shkedy, G Molenberghs Computational Statistics & Data Analysis 57 (1), 233-245, 2013 | 17 | 2013 |
| Space-time variation of respiratory cancers in South Carolina: a flexible multivariate mixture modeling approach to risk estimation R Carroll, AB Lawson, RS Kirby, C Faes, M Aregay, K Watjou Annals of epidemiology 27 (1), 42-51, 2017 | 15 | 2017 |
| Spatially-dependent Bayesian model selection for disease mapping R Carroll, AB Lawson, C Faes, RS Kirby, M Aregay, K Watjou Statistical methods in medical research 27 (1), 250-268, 2018 | 12 | 2018 |
| Zero‐inflated multiscale models for aggregated small area health data M Aregay, AB Lawson, C Faes, RS Kirby, R Carroll, K Watjou Environmetrics 29 (1), e2477, 2018 | 11 | 2018 |
| Multiscale measurement error models for aggregated small area health data M Aregay, AB Lawson, C Faes, RS Kirby, R Carroll, K Watjou Statistical methods in medical research 25 (4), 1201-1223, 2016 | 11 | 2016 |
| Extensions to multivariate space time mixture modeling of small area cancer data R Carroll, AB Lawson, C Faes, RS Kirby, M Aregay, K Watjou International journal of environmental research and public health 14 (5), 503, 2017 | 10 | 2017 |
| Spatial mixture multiscale modeling for aggregated health data M Aregay, AB Lawson, C Faes, RS Kirby, R Carroll, K Watjou Biometrical journal 58 (5), 1091-1112, 2016 | 10 | 2016 |
| Bayesian model selection methods in modeling small area colon cancer incidence R Carroll, AB Lawson, C Faes, RS Kirby, M Aregay, K Watjou Annals of epidemiology 26 (1), 43-49, 2016 | 9 | 2016 |
| Comparison of additive and multiplicative Bayesian models for longitudinal count data with overdispersion parameters: a simulation study M Aregay, Z Shkedy, G Molenberghs Communications in Statistics-Simulation and Computation 44 (2), 454-473, 2015 | 8 | 2015 |
| Impact of income on small area low birth weight incidence using multiscale models M Aregay, AB Lawson, C Faes, RS Kirby, R Carroll, K Watjou AIMS public health 2 (4), 667, 2015 | 8 | 2015 |
| Modelling multivariate, overdispersed binomial data with additive and multiplicative random effects E Del Fava, Z Shkedy, M Aregay, G Molenberghs Statistical Modelling 14 (2), 99-133, 2014 | 6 | 2014 |
| Comparing multilevel and multiscale convolution models for small area aggregated health data M Aregay, AB Lawson, C Faes, RS Kirby, R Carroll, K Watjou Spatial and Spatio-temporal Epidemiology 22, 39-49, 2017 | 4 | 2017 |
| Spatial smoothing models to deal with the complex sampling design and nonresponse in the Florida BRFSS survey K Watjou, C Faes, RS Kirby, M Aregay, R Carroll, Y Vandendijck Spatial and spatio-temporal epidemiology 29, 59-70, 2019 | 2 | 2019 |
