American Statistical Association
We propose a novel alternative to case-control sampling for the estimation of individual-level risk in spatial epidemiology. Our approach uses weighted estimating equations to estimate regression parameters in the intensity function of an inhomogeneous spatial point process, when information on risk-factors is available at the individual level for cases, but only at a spatially aggregated level for the population at risk. We develop data-driven methods to select the weights used in the estimating equations and show through simulation that the choice of weights can have a major impact on efficiency of estimation. We develop a formal test to detect non-Poisson behavior in the underlying point process and assess the performance of the test using simulations of Poisson and Poisson cluster point processes. We apply our methods to data on the spatial distribution of childhood meningococcal disease cases in Merseyside, U.K. between 1981 and 2007.
Yongtao Guan is a Professor of Management Science and Professor of Biostatistics (secondary appointment) at the University of Miami (UM). Prior to joining UM, Guan was Assistant and Associate Professor of biostatistics at Yale University from 2006-2011 and was Assistant Professor of Management Science at UM from 2003-2006. Guan, who earned his PhD from Texas A&M University in 2003, specializes in modeling data with correlation such as spatial, recurrent event and longitudinal data. Guan's research has been widely published in leading academic journals such as the Journal of the American Statistical Association, Journal of the Royal Statistical Society, Series B, Biometrika and Biometrics. Guan was a recipient of the CAREER Award from the National Science Foundation in 2009 and an R01 award from the National Institute of Health in 2011. He has also served as Guest Editor of Statistics and Its Interface and Associate Editor of the Annals of Applied Statistics.
|Date:||Thursday, December 1, 2011|
|Time:||4:00 - 5:00 P.M.|
Mailman School of Public Health
Department of Biostatistics
722 West 168th Street
Biostatistics Computer Lab
6th Floor - Room 656
New York, New York