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Earl W Duncan

Showing results (1-10 of 8) with videos related to

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Plos One|May 21, 2020
Comparing Bayesian spatial models: Goodness-of-smoothing criteria for assessing under- and over-smoothingEarl W Duncan, Kerrie L Mengersen
BMJ Open|May 28, 2016
Bayesian spatiotemporal modelling for identifying unusual and unstable trends in mammography utilisationEarl W Duncan, Nicole M White, Kerrie Mengersen
International Journal of Health Geographics|December 17, 2017
Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inferenceEarl W Duncan, Nicole M White, Kerrie Mengersen
Plos One|May 27, 2022
Evaluation of spatial Bayesian Empirical Likelihood models in analysis of small area dataFarzana Jahan, Daniel W Kennedy, Earl W Duncan, et al.
Royal Society Open Science|September 24, 2020
Augmenting disease maps: a Bayesian meta-analysis approachFarzana Jahan, Earl W Duncan, Susanna M Cramb, et al.
International Journal of Health Geographics|October 18, 2020
Multivariate Bayesian meta-analysis: joint modelling of multiple cancer types using summary statisticsFarzana Jahan, Earl W Duncan, Susana M Cramb, et al.
Royal Society Open Science|May 11, 2021
Correction to 'Augmenting disease maps: a Bayesian meta-analysis approach'Farzana Jahan, Earl W Duncan, Susanna M Cramb, et al.
International Journal of Health Geographics|October 2, 2019
Development of the Australian Cancer Atlas: spatial modelling, visualisation, and reporting of estimatesEarl W Duncan, Susanna M Cramb, Joanne F Aitken, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Plos One|May 21, 2020
Comparing Bayesian spatial models: Goodness-of-smoothing criteria for assessing under- and over-smoothingEarl W Duncan, Kerrie L Mengersen
BMJ Open|May 28, 2016
Bayesian spatiotemporal modelling for identifying unusual and unstable trends in mammography utilisationEarl W Duncan, Nicole M White, Kerrie Mengersen
International Journal of Health Geographics|December 17, 2017
Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inferenceEarl W Duncan, Nicole M White, Kerrie Mengersen
Plos One|May 27, 2022
Evaluation of spatial Bayesian Empirical Likelihood models in analysis of small area dataFarzana Jahan, Daniel W Kennedy, Earl W Duncan, et al.
Royal Society Open Science|September 24, 2020
Augmenting disease maps: a Bayesian meta-analysis approachFarzana Jahan, Earl W Duncan, Susanna M Cramb, et al.
International Journal of Health Geographics|October 18, 2020
Multivariate Bayesian meta-analysis: joint modelling of multiple cancer types using summary statisticsFarzana Jahan, Earl W Duncan, Susana M Cramb, et al.
Royal Society Open Science|May 11, 2021
Correction to 'Augmenting disease maps: a Bayesian meta-analysis approach'Farzana Jahan, Earl W Duncan, Susanna M Cramb, et al.
International Journal of Health Geographics|October 2, 2019
Development of the Australian Cancer Atlas: spatial modelling, visualisation, and reporting of estimatesEarl W Duncan, Susanna M Cramb, Joanne F Aitken, et al.
Pageof 1