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Statistical Methods in Medical Research|April 12, 2018
A Bayesian two-stage spatially dependent variable selection model for space-time health dataJungsoon Choi, Andrew B LawsonStatistics in Medicine|January 29, 2002
Spatial mixture relative risk models applied to disease mappingAndrew B Lawson, Allan ClarkIMA Journal of Mathematics Applied in Medicine and Biology|April 11, 2000
Approaches to the space-time modelling of infectious disease behaviourA B Lawson, P LeimichSpatial Statistics|August 29, 2020
Bayesian cure-rate survival model with spatially structured censoringGeorgiana Onicescu, Andrew B LawsonPreventive Veterinary Medicine|September 29, 2005
Spatial statistical modeling of disease outbreaks with particular reference to the UK foot and mouth disease (FMD) epidemic of 2001A B Lawson, H ZhouPlos One|December 22, 2022
Bayesian space-time SIR modeling of Covid-19 in two US states during the 2020-2021 pandemicAndrew B Lawson, Joanne KimPlos One|March 17, 2021
Space-time covid-19 Bayesian SIR modeling in South CarolinaAndrew B Lawson, Joanne KimFrontiers in Epidemiology|November 26, 2024
COVID-19 latent age-specific mortality in US states: a county-level spatio-temporal analysis with counterfactualsAndrew B Lawson, Yao XinInternational Journal of Environmental Research and Public Health|September 21, 2018
A Bayesian Quantile Modeling for Spatiotemporal Relative Risk: An Application to Adverse Risk Detection of Respiratory Diseases in South Carolina, USAChawarat Rotejanaprasert, Andrew B LawsonPlos One|July 10, 2024
Correction: Bayesian space-time SIR modeling of Covid-19 in two US states during the 2020-2021 pandemicAndrew B Lawson, Joanne KimPageof 39