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A B Lawson

Showing results (11-20 of 27) with videos related to

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Spatial and Spatio-Temporal Epidemiology|May 27, 2019
A data-driven approach for estimating the change-points and impact of major events on disease riskR Carroll, A B Lawson, S Zhao
Scientific Reports|September 1, 2021
Author Correction: Modelling and predicting the spatio‑temporal spread of COVID‑19, associated deaths and impact of key risk factors in EnglandB Sartorius, A B Lawson, R L Pullan
Preventive Veterinary Medicine|September 29, 2005
Bayesian hierarchical modelling to enhance the epidemiological value of abattoir surveys for bovine fasciolosisP A Durr, N Tait, A B Lawson
Scientific Reports|March 9, 2021
Modelling and predicting the spatio-temporal spread of COVID-19, associated deaths and impact of key risk factors in EnglandB Sartorius, A B Lawson, R L Pullan
Environmetrics|January 28, 2020
Multivariate Air Pollution Prediction Modeling with partial MissingnessR M Boaz, A B Lawson, J L Pearce
International Journal of Epidemiology|April 1, 1992
Low sex ratios of births in areas at risk from air pollution from incinerators, as shown by geographical analysis and 3-dimensional mappingF L Williams, A B Lawson, O L Lloyd
Statistical Methods in Medical Research|May 31, 2012
Comparing variational Bayes with Markov chain Monte Carlo for Bayesian computation in neuroimagingF S Nathoo, M L Lesperance, A B Lawson, et al.
Environmental Science & Technology|July 17, 2009
Validation of Bayesian kriging of arsenic, chromium, lead, and mercury surface soil concentrations based on internode samplingC M Aelion, H T Davis, Y Liu, et al.
Spatial and Spatio-Temporal Epidemiology|November 5, 2015
Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mappingR Carroll, A B Lawson, C Faes, et al.
Environmetrics|December 13, 2017
Spatiotemporal multivariate mixture models for Bayesian model selection in disease mappingA B Lawson, R Carroll, C Faes, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Spatial and Spatio-Temporal Epidemiology|May 27, 2019
A data-driven approach for estimating the change-points and impact of major events on disease riskR Carroll, A B Lawson, S Zhao
Scientific Reports|September 1, 2021
Author Correction: Modelling and predicting the spatio‑temporal spread of COVID‑19, associated deaths and impact of key risk factors in EnglandB Sartorius, A B Lawson, R L Pullan
Preventive Veterinary Medicine|September 29, 2005
Bayesian hierarchical modelling to enhance the epidemiological value of abattoir surveys for bovine fasciolosisP A Durr, N Tait, A B Lawson
Scientific Reports|March 9, 2021
Modelling and predicting the spatio-temporal spread of COVID-19, associated deaths and impact of key risk factors in EnglandB Sartorius, A B Lawson, R L Pullan
Environmetrics|January 28, 2020
Multivariate Air Pollution Prediction Modeling with partial MissingnessR M Boaz, A B Lawson, J L Pearce
International Journal of Epidemiology|April 1, 1992
Low sex ratios of births in areas at risk from air pollution from incinerators, as shown by geographical analysis and 3-dimensional mappingF L Williams, A B Lawson, O L Lloyd
Statistical Methods in Medical Research|May 31, 2012
Comparing variational Bayes with Markov chain Monte Carlo for Bayesian computation in neuroimagingF S Nathoo, M L Lesperance, A B Lawson, et al.
Environmental Science & Technology|July 17, 2009
Validation of Bayesian kriging of arsenic, chromium, lead, and mercury surface soil concentrations based on internode samplingC M Aelion, H T Davis, Y Liu, et al.
Spatial and Spatio-Temporal Epidemiology|November 5, 2015
Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mappingR Carroll, A B Lawson, C Faes, et al.
Environmetrics|December 13, 2017
Spatiotemporal multivariate mixture models for Bayesian model selection in disease mappingA B Lawson, R Carroll, C Faes, et al.
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