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M Cramb

Showing results (21-30 of 47) with videos related to

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The Medical Journal of Australia|March 14, 2012
The first year counts: cancer survival among Indigenous and non-Indigenous Queenslanders, 1997-2006Susanna M Cramb, Gail Garvey, Patricia C Valery, 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.
Geospatial Health|June 2, 2016
Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal dataSu Yun Kang, Susanna M Cramb, Nicole M White, et al.
Journal of Foot and Ankle Research|June 8, 2026
Risk Factors for Foot-Related Hospitalisations in Adults With and Without Diabetes: A Systematic ReviewSucharitha R Weerasuriya, Chanika Alahakoon, Nimantha Karunathilaka, et al.
Statistics in Medicine|August 10, 2016
A flexible parametric approach to examining spatial variation in relative survivalSusanna M Cramb, Kerrie L Mengersen, Paul C Lambert, 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.
Obesity (Silver Spring, Md.)|February 14, 2009
Childhood overweight status predicts diabetes at age 21 years: a follow-up studyAbdullah Al Mamun, Susanna M Cramb, Michael J O'Callaghan, et al.
Cancer Epidemiology|March 26, 2015
Inferring lung cancer risk factor patterns through joint Bayesian spatio-temporal analysisSusanna M Cramb, Peter D Baade, Nicole M White, et al.
Pageof 5

Showing results (21-30 of 47) with videos related to

Sort By:
Pageof 5
The Medical Journal of Australia|March 14, 2012
The first year counts: cancer survival among Indigenous and non-Indigenous Queenslanders, 1997-2006Susanna M Cramb, Gail Garvey, Patricia C Valery, 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.
Geospatial Health|June 2, 2016
Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal dataSu Yun Kang, Susanna M Cramb, Nicole M White, et al.
Journal of Foot and Ankle Research|June 8, 2026
Risk Factors for Foot-Related Hospitalisations in Adults With and Without Diabetes: A Systematic ReviewSucharitha R Weerasuriya, Chanika Alahakoon, Nimantha Karunathilaka, et al.
Statistics in Medicine|August 10, 2016
A flexible parametric approach to examining spatial variation in relative survivalSusanna M Cramb, Kerrie L Mengersen, Paul C Lambert, 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.
Obesity (Silver Spring, Md.)|February 14, 2009
Childhood overweight status predicts diabetes at age 21 years: a follow-up studyAbdullah Al Mamun, Susanna M Cramb, Michael J O'Callaghan, et al.
Cancer Epidemiology|March 26, 2015
Inferring lung cancer risk factor patterns through joint Bayesian spatio-temporal analysisSusanna M Cramb, Peter D Baade, Nicole M White, et al.
Pageof 5