Case-control geographic clustering for residential histories accounting for risk factors and covariates.

ABSTRACT:

Background

Methods for analyzing space-time variation in risk in case-control studies typically ignore residential mobility. We develop an approach for analyzing case-control data for mobile individuals and apply it to study bladder cancer in 11 counties in southeastern Michigan. At this time data collection is incomplete and no inferences should be drawn - we analyze these data to demonstrate the novel methods. Global, local and focused clustering of residential histories for 219 cases and 437 controls is quantified using time-dependent nearest neighbor relationships. Business address histories for 268 industries that release known or suspected bladder cancer carcinogens are analyzed. A logistic model accounting for smoking, gender, age, race and education specifies the probabilit

SUBMITTER: Jacquez GM 

PROVIDER: S-EPMC1559595 | biostudies-literature | 2006 Aug

REPOSITORIES: biostudies-literature