8 citations · 8 across the 5 of their papers we have counts for
5 papers
Creating area level indices of behaviours impacting cancer in Australia with a Bayesian generalised shared component model
James Hogg, Susanna Cramb, Jessica Cameron +2
This study develops a model-based index creation approach called the Generalized Shared Component Model (GSCM) by drawing on the large field of factor models. The proposed fully Ba…
Mapping the prevalence of cancer risk factors at the small area level in Australia
James Hogg, Jessica Cameron, Susanna Cramb +2
Cancer is a significant health issue globally and it is well known that cancer risk varies geographically. However in many countries there are no small area level data on cancer ri…
A Two-Stage Bayesian Small Area Estimation Approach for Proportions
James Hogg, Jessica Cameron, Susanna Cramb +2
With the rise in popularity of digital Atlases to communicate spatial variation, there is an increasing need for robust small-area estimates. However, current small-area estimation…
A statistical machine learning approach for benchmarking in the presence of complex contextual factors and peer groups
Daniel W. Kennedy, Jessica Cameron, Paul P. -Y. Wu +1
The ability to compare between individuals or organisations fairly is important for the development of robust and meaningful quantitative benchmarks. To make fair comparisons, cont…
Peer groups for organisational learning: clustering with practical constraints
Daniel William Kennedy, Jessica Cameron, Paul Pao-Yen Wu +1
Peer-grouping is used in many sectors for organisational learning, policy implementation, and benchmarking. Clustering provides a statistical, data-driven method for constructing m…