Key facts
Contents & fields
The dataset contains seven breast cancer outcome indicators, each presented as Standardised Incidence Ratios (SIR) with 95% credible intervals and posterior probability differences (ppd). Data is structured as a table with each row representing an SA2 region, including area code, name, urban classification, and indicator values. Field definitions are as follows:
- sa2——Five-digit SA2 code using 2016 ASGS
- sa2name——Name of each SA2 area
- urban——Categorical variable: 1=Brisbane/Gold Coast, 2=Cairns, 3=Rest of Queensland
- sir_incidence——Standardised incidence ratio for breast cancer incidence
- low_cri_incidence——Lower bound of 95% credible interval for sir_incidence
- high_cri_incidence——Upper bound of 95% credible interval for sir_incidence
- ppd_incidence——Posterior probability difference for sir_incidence, >0.6 indicates significant difference from Queensland average
- sir_localised——SIR for proportion of localised breast cancers
- sir_survive5yrs——SIR for surviving at least five years
- sir_hospitalization——SIR for hospitalization rates
- sir_surgery——SIR for breast cancer surgery rates
- sir_screen——SIR for regular breast cancer screening prevalence
Research uses
Suitable for geographic disparity analysis of breast cancer outcomes, spatial epidemiology, health inequality assessment, public health planning, and cancer surveillance research.
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Keywords
Access and licence
Licence: License statement is still being checked | Free to access
Why this is hard to get on your own
When studying spatial variation in breast cancer outcomes in Queensland, there is a lack of SA2-level data integrating multiple dimensions including incidence, stage at diagnosis, survival, hospitalization, surgery, screening, and treatment experience.