Adjusting Moran’s I for Population Density
Year of Publication
Analysis of Variance; Cluster Analysis; Georgia/epidemiology; Humans; Incidence; Lyme Disease/epidemiology Models; Population Density; Random Allocation; Risk Factors; Space-Time Clustering
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.
Comment inAdjusting Moran's I for population density. [Stat Med. 1998] Adjusting Moran's I for population density. [Stat Med. 1996]