Andrew Lawson to Models, Statistical
This is a "connection" page, showing publications Andrew Lawson has written about Models, Statistical.
Connection Strength
5.511
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NIMBLE for Bayesian Disease Mapping. Spat Spatiotemporal Epidemiol. 2020 Jun; 33:100323.
Score: 0.518
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A Bayesian space-time model for clustering areal units based on their disease trends. Biostatistics. 2019 10 01; 20(4):681-697.
Score: 0.507
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Bayesian point event modeling in spatial and environmental epidemiology. Stat Methods Med Res. 2012 Oct; 21(5):509-29.
Score: 0.312
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Prior choice in discrete latent modeling of spatially referenced cancer survival. Stat Methods Med Res. 2014 Apr; 23(2):183-200.
Score: 0.303
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Foot and mouth disease revisited: re-analysis using Bayesian spatial susceptible-infectious-removed models. Spat Spatiotemporal Epidemiol. 2011 Sep; 2(3):185-94.
Score: 0.287
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Bayesian hierarchical modeling of latent period switching in small-area putative health hazard studies. Stat Methods Med Res. 2011 Feb; 20(1):5-28.
Score: 0.270
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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: 0.262
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Testing for unusual aggregation of health risk in semiparametric models. Stat Med. 2008 Jul 10; 27(15):2902-21.
Score: 0.233
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Online updating of space-time disease surveillance models via particle filters. Stat Methods Med Res. 2006 Oct; 15(5):423-44.
Score: 0.206
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Surveillance of individual level disease maps. Stat Methods Med Res. 2006 Aug; 15(4):353-62.
Score: 0.203
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Monitoring changes in spatio-temporal maps of disease. Biom J. 2006 Jun; 48(3):463-80.
Score: 0.201
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Disease cluster detection: a critique and a Bayesian proposal. Stat Med. 2006 Mar 15; 25(5):897-916.
Score: 0.198
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Spatial mixture relative risk models applied to disease mapping. Stat Med. 2002 Feb 15; 21(3):359-70.
Score: 0.149
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Disease mapping models: an empirical evaluation. Disease Mapping Collaborative Group. Stat Med. 2000 Sep 15-30; 19(17-18):2217-41.
Score: 0.135
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Spatial competing risk models in disease mapping. Stat Med. 2000 Sep 15-30; 19(17-18):2451-67.
Score: 0.135
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Temporally dependent accelerated failure time model for capturing the impact of events that alter survival in disease mapping. Biostatistics. 2019 10 01; 20(4):666-680.
Score: 0.127
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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: 0.118
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Spatial mixture multiscale modeling for aggregated health data. Biom J. 2016 Sep; 58(5):1091-112.
Score: 0.099
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Bayesian model selection methods in modeling small area colon cancer incidence. Ann Epidemiol. 2016 Jan; 26(1):43-9.
Score: 0.097
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The power of focused tests to detect disease clustering. Stat Med. 1995 Nov 15-30; 14(21-22):2291-308.
Score: 0.097
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Tests for directional space-time interaction in epidemiological data. Stat Med. 1995 Nov 15-30; 14(21-22):2383-91.
Score: 0.097
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Bayesian multi-scale modeling for aggregated disease mapping data. Stat Methods Med Res. 2017 Dec; 26(6):2726-2742.
Score: 0.096
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Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping. Spat Spatiotemporal Epidemiol. 2015 Jul-Oct; 14-15:45-54.
Score: 0.095
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Bayesian accelerated failure time model for space-time dependency in a geographically augmented survival model. Stat Methods Med Res. 2017 Oct; 26(5):2244-2256.
Score: 0.095
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Bayesian semiparametric model with spatially-temporally varying coefficients selection. Stat Med. 2013 Sep 20; 32(21):3670-85.
Score: 0.081
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Imputational modeling of spatial context and social environmental predictors of walking in an underserved community: the PATH trial. Spat Spatiotemporal Epidemiol. 2013 Mar; 4:15-23.
Score: 0.079
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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: 0.070
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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: 0.070
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Geomed. Stat Methods Med Res. 2011 Feb; 20(1):3.
Score: 0.069
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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: 0.065
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A data-driven approach for estimating the change-points and impact of major events on disease risk. Spat Spatiotemporal Epidemiol. 2019 06; 29:111-118.
Score: 0.030
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Spatially-explicit survival modeling with discrete grouping of cancer predictors. Spat Spatiotemporal Epidemiol. 2019 06; 29:139-148.
Score: 0.029
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Comparing multilevel and multiscale convolution models for small area aggregated health data. Spat Spatiotemporal Epidemiol. 2017 08; 22:39-49.
Score: 0.027
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Spatial small area smoothing models for handling survey data with nonresponse. Stat Med. 2017 Oct 15; 36(23):3708-3745.
Score: 0.027
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Spatially-dependent Bayesian model selection for disease mapping. Stat Methods Med Res. 2018 01; 27(1):250-268.
Score: 0.025
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The bivariate combined model for spatial data analysis. Stat Med. 2016 08 15; 35(18):3189-202.
Score: 0.025
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MCMC methods for putative pollution source problems in environmental epidemiology. Stat Med. 1995 Nov 15-30; 14(21-22):2473-85.
Score: 0.024
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Applications of extraction mapping in environmental epidemiology. Stat Med. 1993 Jul 15; 12(13):1249-58.
Score: 0.021
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A Bayesian latent model with spatio-temporally varying coefficients in low birth weight incidence data. Stat Methods Med Res. 2012 Oct; 21(5):445-56.
Score: 0.019
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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: 0.014