Developing a Cancer Atlas using Bayesian Methods: A Practical Guide for Application and Interpretation
Revised 23 August, 2020 (online v1.0.1)
Preface
Suggested Citation
Duncan, E. W., S. M. Cramb, P. D. Baade, K. L. Mengersen, T. Saunders, and J. F. Aitken. 2019. Developing a Cancer Atlas using Bayesian Methods: A Practical Guide for Application and Interpretation. Brisbane: Queensland University of Technology (QUT) and Cancer Council Queensland.
List of Acronyms and Abbreviations
ABS \(\hspace{2.0em}\)Australian Bureau of Statistics
ACA \(\hspace{2.0em}\)Australian Cancer Atlas
BIC \(\hspace{2.2em}\)Bayesian information criterion
BYM \(\hspace{1.9em}\)a model named after the authors Besag, York, and Molli'e
CAR \(\hspace{1.9em}\)conditional autoregressive [model]
CI \(\hspace{2.8em}\)credible interval
CRAN \(\hspace{1.3em}\)Comprehensive R Archive Network
DAG \(\hspace{1.7em}\)directed acyclic graph
DCO \(\hspace{1.7em}\)death certificate only
DIC \(\hspace{2.2em}\)deviance information criterion
EHR \(\hspace{1.9em}\)excess hazard ratio
ESS \(\hspace{1.9em}\)effective sample size
GLM \(\hspace{1.8em}\)generalised linear model
i.i.d. \(\hspace{2.0em}\)independent and identically distributed
ICAR \(\hspace{1.6em}\)intrinsic conditional autoregressive [model]
INLA \(\hspace{1.8em}\)integrated nested Laplace approximation
IRSAD \(\hspace{1.1em}\)index of relative socioeconomic advantage and disadvantage
LPPD \(\hspace{1.4em}\)log pointwise predictive density
MCMC \(\hspace{1.1em}\)Markov chain Monte Carlo
PPD \(\hspace{1.9em}\)posterior probability difference
SA2 \(\hspace{2.0em}\)statistical area level 2
SIR \(\hspace{2.2em}\)standardised incidence ratio
SLA \(\hspace{2.1em}\)statistical local area
SRE \(\hspace{1.9em}\)spatial random effect
WAIC \(\hspace{1.5em}\)Watanabe-Akaike (or widely applicable) information criterion
WSSP \(\hspace{1.2em}\)weighted sum of spatial priors
Acknowledgements
The authors would like to thank the many members of the Australian Cancer Atlas project team who contributed to this eBook, and the advice provided by the Project Advisory Team. We also appreciated the support of the individual state- and territory-based cancer registries, the Australasian Association of Cancer Registries, and Cancer Council Australia for this project. We acknowledge the expertise provided by the Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)
The authors would also like to thank Jess Cameron, a Research Fellow at Cancer Council Queensland, for proofreading and providing feedback on earlier versions of this eBook
Contact
This eBook is maintained by the authors and may be updated periodically to add new content or make corrections. If you notice any errors, particularly with the code, or have any general enquiries, please contact the first author at earl.w.duncan@gmail.com.