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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 ClarkSpatial Statistics|August 29, 2020
Bayesian cure-rate survival model with spatially structured censoringGeorgiana Onicescu, Andrew B LawsonPlos 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 KimJournal of Applied Statistics|April 9, 2011
Bayesian Parametric Accelerated Failure Time Spatial Model and its Application to Prostate CancerJiajia Zhang, Andrew B LawsonStatistical Methods in Medical Research|June 18, 2016
Bayesian spatially dependent variable selection for small area health modelingJungsoon Choi, Andrew B LawsonPageof 25