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Royal Society Open Science|November 7, 2015
Spatial modelling of type II diabetes outcomes: a systematic review of approaches usedJannah Baker, Nicole White, Kerrie MengersenEcology|March 20, 2009
Elicitation by design in ecology: using expert opinion to inform priors for Bayesian statistical modelsSamantha Low Choy, Rebecca O'Leary, Kerrie MengersenStatistics in Medicine|July 11, 2003
Multivariate meta-analysisIn-Sun Nam, Kerrie Mengersen, Paul GarthwaiteGeospatial Health|November 22, 2013
Spatial analysis of risk factors for transmission of the Barmah Forest virus in Queensland, AustraliaSuchithra Naish, Kerrie Mengersen, Shi-Lu TongSpatial and Spatio-Temporal Epidemiology|August 13, 2014
The choice of spatial scales and spatial smoothness priors for various spatial patternsSu Yun Kang, James McGree, Kerrie MengersenIntegrated Environmental Assessment and Management|August 20, 2011
Integrating Bayesian networks and geographic information systems: good practice examplesSandra Johnson, Sama Low-Choy, Kerrie MengersenWater Research|July 18, 2025
New Bayesian and deep learning spatio-temporal models can reveal anomalies in sensor data more effectivelyEdgar Santos-Fernandez, Simon Denman, Kerrie MengersenPlos One|October 23, 2013
The impact of spatial scales and spatial smoothing on the outcome of bayesian spatial modelSu Yun Kang, James McGree, Kerrie MengersenTrends in Ecology & Evolution|February 27, 2014
Global species richness estimates have not convergedM Julian Caley, Rebecca Fisher, Kerrie MengersenInfectious Disease Modelling|June 11, 2025
Evaluating the impact of the Modifiable Areal Unit Problem on ecological model inference: A case study of COVID-19 data in Queensland, AustraliaShovanur Haque, Aiden Price, Kerrie Mengersen, et al.Pageof 24