| Methods for analysis of pre-post data in clinical research - a comparison of five common methods NS O'Connell, L Dai, Y Jiang, JL Speiser, R Ward, W Wei, R Carroll, ... J Biom and Biostat 8, 334, 2017 | 224 | 2017 |
| 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 | 118 | 2015 |
| Metallic air pollutants and breast cancer risk in a nationwide cohort study AJ White, KM O’Brien, NM Niehoff, R Carroll, DP Sandler Epidemiology 30 (1), 20-28, 2019 | 114 | 2019 |
| Air pollution, clustering of particulate matter components, and breast cancer in the sister study: a US-wide cohort AJ White, JP Keller, S Zhao, R Carroll, JD Kaufman, DP Sandler Environmental health perspectives 127 (10), 107002, 2019 | 109 | 2019 |
| Urinary trace metals individually and in mixtures in association with preterm birth SS Kim, JD Meeker, R Carroll, S Zhao, MJ Mourgas, MJ Richards, M Aung, ... Environment international 121, 582-590, 2018 | 109 | 2018 |
| A systematic review of spatial habitat associations and modeling of marine fish distribution: a guide to predictors, methods, and knowledge gaps BA Pickens, R Carroll, MJ Schirripa, F Forrestal, KD Friedland, JC Taylor PLoS One 16 (5), e0251818, 2021 | 37 | 2021 |
| Maternal plasma concentrations of per-and polyfluoroalkyl substances and breastfeeding duration in the Norwegian mother and child cohort EM Rosen, AL Brantsæter, R Carroll, LS Haug, AB Singer, S Zhao, ... Environmental Epidemiology 2 (3), e027, 2018 | 26 | 2018 |
| 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 | 25 | 2017 |
| Assessment of spatial variation in breast cancer-specific mortality using Louisiana SEER data R Carroll, AB Lawson, CL Jackson, S Zhao Social Science & Medicine 193, 1-7, 2017 | 23 | 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 | 22 | 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 | 21 | 2016 |
| Trends in colorectal cancer incidence and survival in Iowa SEER data: the timing of it all R Carroll, S Zhao Clinical colorectal cancer 18 (2), e261-e274, 2019 | 20 | 2019 |
| Community vulnerability and mobility: What matters most in spatio-temporal modeling of the COVID-19 pandemic? R Carroll, CR Prentice Social Science & Medicine 287, 114395, 2021 | 19 | 2021 |
| 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 | 18 | 2017 |
| Latent classes for chemical mixtures analyses in epidemiology: an example using phthalate and phenol exposure biomarkers in pregnant women R Carroll, AJ White, AP Keil, JD Meeker, TF McElrath, S Zhao, ... Journal of exposure science & environmental epidemiology 30 (1), 149-159, 2020 | 14 | 2020 |
| 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 | 14 | 2017 |
| Temporally dependent accelerated failure time model for capturing the impact of events that alter survival in disease mapping R Carroll, AB Lawson, S Zhao Biostatistics 20 (4), 666-680, 2019 | 13 | 2019 |
| 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 | 13 | 2018 |
| Joint spatial Bayesian modeling for studies combining longitudinal and cross-sectional data AB Lawson, R Carroll, M Castro Statistical methods in medical research 23 (6), 611-624, 2014 | 13 | 2014 |
| Using spatial and temporal modeling to visualize the effects of US state issued stay at home orders on COVID-19 R Carroll, CR Prentice Scientific Reports 11 (1), 13939, 2021 | 12 | 2021 |
Andrew B LawsonDistinguished University Professor of Biostatistics, Medical University of South CarolinaПотвърден имейл адрес: musc.edu