Purpose: To develop a composite Cancer Burden Index and produce 95% confidence intervals (CIs) as measures of uncertainties for the index. Methods: The Kentucky Cancer Registry has developed a cancer burden Rank Sum Index (RSI) to guide statewide comprehensive cancer control activities. However, lack of interval estimates for RSI limits its applications. RSI also weights individual measures with little inherent variability equally as ones with large variability. To address these issues, a Modified Sum Index (MSI) was developed to take into account of magnitudes of observed values. A simulation approach was used to generate individual and simultaneous 95% CIs for the rank MSI. An uncertainty measure was also calculated. Results: At the Area Development Districts (ADDs) level, the ranks of the RSI and the MSI were almost identical, while larger variation was found at the county level. The widths of the CIs at the ADD level were considerably shorter than those at the county level. Conclusion: The measures developed for estimating composite cancer burden indices and the simulated CIs provide valuable information to guide cancer prevention and control effort. Caution should be taken when interpreting ranks from small population geographic units where the CIs for the ranks overlap considerably.
|Number of pages||9|
|Journal||Cancer Causes and Control|
|State||Published - Feb 1 2018|
Bibliographical noteFunding Information:
Funding B.H. and T.C.T. acknowledge the financial support for the submitted work from the National Cancer Institute (NCI) Grant and Contract (P30 CA177558, HHSN2612013000031) and the Centers for Disease Control and Prevention (CDC) cooperative agreement (5NU58DP003907); R.G. acknowledge the financial support from the NCI Contract (HHSN261201500333P).
© 2018, Springer International Publishing AG, part of Springer Nature.
- Cancer Burden Index
- Cancer prevention and control
- Rank Sum Index
- Simultaneous confidence interval
- Small geographic area
- Uncertainty measures
ASJC Scopus subject areas
- Cancer Research