This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 252
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #308774
Title: On the Effect of Diagnostic Misclassification Bias on the Observed Spatial Pattern in Regional Count Data: A Simulation Study
Author(s): Olaf Berke*+
Companies: University of Guelph
Address: Department of Population Medicine, Guelph, ON, N1G 2W1, Canada
Keywords: Geographic epidemiology ; misclassification bias ; diagnostic test ; Moran's I ; semivariogram ; Monte Carlo simulation
Abstract:

Geographic epidemiology is concerned with the investigation of spatially referenced data to discover spatial patterns in the health status of populations. In this context it is generally assumed that a perfect diagnostic test is used to classify individuals as positive or negative hence health status is measured without error. In this work the effect of an imperfect diagnostic test on spatial patterns of disease in regional count data is investigated. Specifically the misclassification effect on the semivariogram, Moran's I statistic and the spatial scan test are evaluated for the situation of West Nile virus infections among dead birds sampled from the 30 public health units of southern Ontario in 2005. Under large sample conditions no serious spatial bias is introduced by use of an imperfect diagnostic test.


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