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Computational Statistics & Data Analysis|September 28, 2011
Approximate methods in Bayesian point process spatial modelsMd Monir Hossain, Andrew B LawsonStatistics in Medicine|February 3, 2006
Cluster detection diagnostics for small area health data: with reference to evaluation of local likelihood modelsMonir Md Hossain, Andrew B LawsonEnvironmental and Ecological Statistics|October 19, 2010
Space-time Bayesian small area disease risk models: development and evaluation with a focus on cluster detectionMd Monir Hossain, Andrew B LawsonStatistical Methods in Medical Research|August 28, 2010
Bayesian hierarchical modeling of latent period switching in small-area putative health hazard studiesAhmed Al-Hadhrami, Andrew B LawsonStatistical Methods in Medical Research|March 25, 2014
Prospective analysis of infectious disease surveillance data using syndromic informationAna Corberán-Vallet, Andrew B LawsonStatistics in Medicine|September 8, 2011
Conditional predictive inference for online surveillance of spatial disease incidenceAna Corberán-Vallet, Andrew B LawsonStatistical Methods in Medical Research|August 5, 2006
Surveillance of individual level disease mapsAllan B Clark, Andrew B LawsonJournal of Economic Entomology|December 3, 2003
Evaluation of systemic insecticides as a treatment option in integrated pest management of the elm leaf beetle, Xanthogaleruca luteola (Müller) (Coleoptera: Chrysomelidae)Andrew B Lawson, Donald L DahlstenSpatial and Spatio-Temporal Epidemiology|July 4, 2012
Bayesian hierarchical modeling of the dynamics of spatio-temporal influenza season outbreaksAndrew B Lawson, Hae-Ryoung SongJournal of Applied Statistics|June 1, 2023
A multivariate spatiotemporal model for tracking COVID-19 incidence and death rates in socially vulnerable populationsBrian Neelon, Chun-Che Wen, Sara E Benjamin-NeelonPageof 25