Comparison of the entropy technique with two other techniques for detecting disease clustering using data from children with high blood lead levels

The entropy technique was compared with two other case-control techniques f or detecting disease clustering using data on blood lead levels of children who were patients at the King/Drew Medical Center in South-Central Los Ang eles in 1991 to 1994, The other two methods are the nearest neighbor techni que (NNT) and Moran's IPOP technique, a variation of Moran's /test, in whic h rates are adjusted for population size. Four different blood lead levels (15 mu g/dl, 20 mu g/dl, 30 mu g/dl, 35 mu g/dl) were used as cutoff levels to designate cases. Persons with blood lead levels greater than or equal t o the cutoff level were designated as cases. The authors found significant clustering for all four cutoff levels using the entropy method, and for the first three cutoff levels using the NNT. They found significant clustering with Moran's IPOP for some scales for two of the cutoff levels. While perf ormance of the entropy technique and the NNT were independent of scale, tha t of Moran's IPOP was highly scale-dependent.