Spatial cluster analysis is a uniquely interdisciplinary endeavour, and so it is important to
communicate and disseminate ideas, innovations, best practices and challenges across …

Cancer is a major concern among chronic diseases today. Spatial epidemiology plays a
relevant role in this matter and we present here a review of this subject, including a …

Spatial scan statistics are widely used for count data to detect geographical disease clusters
of high or low incidence, mortality or prevalence and to evaluate their statistical significance …

This book is intended to provide a text on statistical methods for detecting clus ters and/or
clustering of health events that is of interest to? nal year undergraduate and graduate level …

Objective We previously reported that total suspended particulates exposure (a measure of
air pollution) at the time of birth was related to increased postmenopausal breast cancer risk …

Background Xylazine, a veterinary analgesic sedative, is circulating in the illicit drug markets
of at least 23 states including Illinois. We conducted a geographic analysis to better identify …

Dietary lignan intakes have been associated with reduced breast cancer risks; however, no
previous studies have investigated whether lignan intake might be associated with breast …

There have been articles on comparing methods for global clustering evaluation and cluster
detection in disease surveillance, but power and sample size (SS) requirements have not …

Survival and event history analysis have developed into one of the major areas of
biostatistics, with important applications in other fields as well, including reliability theory …

Background This paper introduces a new approach for evaluating clustering in case-control
data that accounts for residential histories. Although many statistics have been proposed for …