Visualization of the spatial scan statistic using nested circles.
We propose a technique for the display of results of Kulldorff's spatial scan statistic and related cluster detection methods that provides a greater degree of informational content. By simultaneously considering likelihood ratio and relative risk, it is possible to identify focused sub-clusters of higher (or lower) relative risk among broader regional excesses or deficits. The result is a map with a nested or contoured appearance. Here the technique is applied to prostate cancer mortality data in counties within the contiguous United States during the period 1970-1994. The resulting map shows both broad and localized patterns of excess and deficit, which complements a choropleth map of the same data.
Boscoe
Francis P
FP
SEER Program, National Cancer Institute, Bethesda, Maryland, MD, USA.
McLaughlin
Colleen
C
Schymura
Maria J
MJ
Kielb
Christine L
CL
D006801:Humans; D008297:Male; D011471:Prostatic Neoplasms / Q000453:epidemiology / Q000401:mortality*; D012306:Risk; D013223:Statistics as Topic / Q000379:methods*; D014481:United States / Q000453:epidemiology