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.
This card was drafted from the source page; institution, coverage, time span, scale, fields and license are subject to the official page (pending human review).
Keywords
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.