151. Performance of cancer cluster Q-statistics for case-control residential histories.
- Author
-
Sloan, Chantel D., Jacquez, Geoffrey M., Gallagher, Carolyn M., Ward, Mary H., Raaschou-Nielsen, Ole, Nordsborg, Rikke Baastrup, and Meliker, Jaymie R.
- Abstract
Abstract: Few investigations of health event clustering have evaluated residential mobility, though causative exposures for chronic diseases such as cancer often occur long before diagnosis. Recently developed Q-statistics incorporate human mobility into disease cluster investigations by quantifying space- and time-dependent nearest neighbor relationships. Using residential histories from two cancer case-control studies, we created simulated clusters to examine Q-statistic performance. Results suggest the intersection of cases with significant clustering over their life course, Q
i , with cases who are constituents of significant local clusters at given times, Qit , yielded the best performance, which improved with increasing cluster size. Upon comparison, a larger proportion of true positives were detected with Kulldorf’s spatial scan method if the time of clustering was provided. We recommend using Q-statistics to identify when and where clustering may have occurred, followed by the scan method to localize the candidate clusters. Future work should investigate the generalizability of these findings. [Copyright &y& Elsevier]- Published
- 2012
- Full Text
- View/download PDF