Adjusting Moran's I for population density.
1995 Jan 15
Journal Article
Authors:
Oden, N.
Secondary:
Stat Med
Volume:
14
Pagination:
17-26
Issue:
1
PMID:
7701154
Keywords:
Analysis of Variance; Cluster Analysis; Georgia; Humans; Incidence; Lyme Disease; Models, Statistical; Population Density; Random Allocation; Risk Factors; Space-Time Clustering
Abstract:
I derive two new statistics, Ipop and Ipop*, that adjust Moran's I to study clustering of disease cases in areas (for example, counties) with different, known population densities. A simulation of Lyme disease in Georgia suggests that these new statistics can be more powerful than those currently in use. This is because they consider both spatial pattern and non-binomial variance in rates as evidence supporting disease clusters.
