Andrew Lawson to South Carolina
This is a "connection" page, showing publications Andrew Lawson has written about South Carolina.
Connection Strength
1.496
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Space-time covid-19 Bayesian SIR modeling in South Carolina. PLoS One. 2021; 16(3):e0242777.
Score: 0.117
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NIMBLE for Bayesian Disease Mapping. Spat Spatiotemporal Epidemiol. 2020 Jun; 33:100323.
Score: 0.108
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A Bayesian Quantile Modeling for Spatiotemporal Relative Risk: An Application to Adverse Risk Detection of Respiratory Diseases in South Carolina, USA. Int J Environ Res Public Health. 2018 09 18; 15(9).
Score: 0.099
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Bayesian prospective detection of small area health anomalies using Kullback-Leibler divergence. Stat Methods Med Res. 2018 04; 27(4):1076-1087.
Score: 0.085
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Does the metal content in soil around a pregnant woman's home increase the risk of low birth weight for her infant? Environ Geochem Health. 2014 Dec; 36(6):1191-7.
Score: 0.073
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Prospective analysis of infectious disease surveillance data using syndromic information. Stat Methods Med Res. 2014 Dec; 23(6):572-90.
Score: 0.072
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Characterizing the food retail environment: impact of count, type, and geospatial error in 2 secondary data sources. J Nutr Educ Behav. 2013 Sep-Oct; 45(5):435-42.
Score: 0.068
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Conditional predictive inference for online surveillance of spatial disease incidence. Stat Med. 2011 Nov 20; 30(26):3095-116.
Score: 0.061
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Validation of 3 food outlet databases: completeness and geospatial accuracy in rural and urban food environments. Am J Epidemiol. 2010 Dec 01; 172(11):1324-33.
Score: 0.057
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Editorial. Spat Spatiotemporal Epidemiol. 2010 Jul; 1(2-3):103.
Score: 0.055
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Bayesian hierarchical modeling of the dynamics of spatio-temporal influenza season outbreaks. Spat Spatiotemporal Epidemiol. 2010 Jul; 1(2-3):187-95.
Score: 0.055
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EWMA smoothing and Bayesian spatial modeling for health surveillance. Stat Med. 2008 Dec 10; 27(28):5907-28.
Score: 0.050
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Testing for unusual aggregation of health risk in semiparametric models. Stat Med. 2008 Jul 10; 27(15):2902-21.
Score: 0.049
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Metal concentrations in rural topsoil in South Carolina: potential for human health impact. Sci Total Environ. 2008 Sep 01; 402(2-3):149-56.
Score: 0.048
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Food store types, availability, and cost of foods in a rural environment. J Am Diet Assoc. 2007 Nov; 107(11):1916-23.
Score: 0.046
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Using Bayesian time-stratified case-crossover models to examine associations between air pollution and "asthma seasons" in a low air pollution environment. PLoS One. 2021; 16(12):e0260264.
Score: 0.031
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Association between Neighborhood Social Deprivation and Stage at Diagnosis among Breast Cancer Patients in South Carolina. Int J Environ Res Public Health. 2021 11 11; 18(22).
Score: 0.031
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A geographic identifier assignment algorithm with Bayesian variable selection to identify neighborhood factors associated with emergency department visit disparities for asthma. Int J Health Geogr. 2020 03 18; 19(1):9.
Score: 0.027
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Space-time variation of respiratory cancers in South Carolina: a flexible multivariate mixture modeling approach to risk estimation. Ann Epidemiol. 2017 Jan; 27(1):42-51.
Score: 0.021
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Spatial Bayesian surveillance for small area case event data. Stat Methods Med Res. 2016 08; 25(4):1101-17.
Score: 0.021
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Lung Function before and after a Large Chlorine Gas Release in Graniteville, South Carolina. Ann Am Thorac Soc. 2016 Mar; 13(3):356-63.
Score: 0.021
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Potential sources and racial disparities in the residential distribution of soil arsenic and lead among pregnant women. Sci Total Environ. 2016 May 01; 551-552:622-30.
Score: 0.021
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Bayesian importance parameter modeling of misaligned predictors: soil metal measures related to residential history and intellectual disability in children. Environ Sci Pollut Res Int. 2014 Sep; 21(18):10775-86.
Score: 0.018
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Are different soil metals near the homes of pregnant women associated with mild and severe intellectual disability in children? Dev Med Child Neurol. 2014 Sep; 56(9):888-97.
Score: 0.018
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Respiratory symptoms and lung function 8-10 months after community exposure to chlorine gas: a public health intervention and cross-sectional analysis. BMC Public Health. 2013 Oct 09; 13:945.
Score: 0.018
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Bayesian semiparametric model with spatially-temporally varying coefficients selection. Stat Med. 2013 Sep 20; 32(21):3670-85.
Score: 0.017
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A Bayesian semiparametric approach with change points for spatial ordinal data. Stat Methods Med Res. 2016 04; 25(2):644-58.
Score: 0.016
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Associations between soil lead concentrations and populations by race/ethnicity and income-to-poverty ratio in urban and rural areas. Environ Geochem Health. 2013 Feb; 35(1):1-12.
Score: 0.016
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Associations of estimated residential soil arsenic and lead concentrations and community-level environmental measures with mother-child health conditions in South Carolina. Health Place. 2012 Jul; 18(4):774-81.
Score: 0.016
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Neighborhood level risk factors for type 1 diabetes in youth: the SEARCH case-control study. Int J Health Geogr. 2012 Jan 09; 11:1.
Score: 0.016
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Spatio-temporal patterning of small area low birth weight incidence and its correlates: a latent spatial structure approach. Spat Spatiotemporal Epidemiol. 2011 Dec; 2(4):265-71.
Score: 0.015
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Spatial accessibility and availability measures and statistical properties in the food environment. Spat Spatiotemporal Epidemiol. 2011 Mar; 2(1):35-47.
Score: 0.015
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Modeling type 1 and type 2 diabetes mellitus incidence in youth: an application of Bayesian hierarchical regression for sparse small area data. Spat Spatiotemporal Epidemiol. 2011 Mar; 2(1):23-33.
Score: 0.015
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Joint disease mapping of cervical and male oropharyngeal cancer incidence in blacks and whites in South Carolina. Spat Spatiotemporal Epidemiol. 2010 Jul; 1(2-3):133-41.
Score: 0.014
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Bayesian spatial modeling of disease risk in relation to multivariate environmental risk fields. Stat Med. 2010 Jan 15; 29(1):142-57.
Score: 0.014
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Are clusters of mental retardation correlated with clusters of developmental delay? Geospat Health. 2009 Nov; 4(1):17-26.
Score: 0.013
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Variable selection for spatial random field predictors under a Bayesian mixed hierarchical spatial model. Spat Spatiotemporal Epidemiol. 2009 Oct-Dec; 1(1):95-102.
Score: 0.013
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Joint spatial survival modeling for the age at diagnosis and the vital outcome of prostate cancer. Stat Med. 2008 Aug 15; 27(18):3612-28.
Score: 0.012
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A spatial analysis of mental retardation of unknown cause and maternal residence during pregnancy. Geospat Health. 2008 May; 2(2):173-82.
Score: 0.012
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A Bayesian hierarchical modeling approach for studying the factors affecting the stage at diagnosis of prostate cancer. Stat Med. 2008 Apr 30; 27(9):1468-89.
Score: 0.012
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Esophageal cancer disparities in South Carolina: early detection, special programs, and descriptive epidemiology. J S C Med Assoc. 2006 Aug; 102(7):201-9.
Score: 0.011