A study of three techniques for time-space clustering in Hodgkin's disease

Abstract

Three techniques for disease time-space clustering analysis, those of Knox, Mantel and Ederer-Myers-Mantel, were applied to simulated data so as to study their sensitivities. The simulated data corresponded to three alternative non-null models for the distribution, transmission and development of Hodgkin's disease (HD) which were formulated in accordance with the results of published studies. The results indicate that the three techniques may not be sufficiently sensitive to the clustering in a real data set of HD cases. Therefore, the inconclusive results obtained to date with regard to clustering of HD may be related to the low power of the statistical techniques employed.