Motivates the need for, and describes methods for the analysis of spatially indexed epidemiological data. Covers four major topics: clustering and cluster detection, disease mapping, spatial regression, and an introduction to geographical information systems. Considers both point-references and spatially aggregated data. OVERLAPS WITH CS&SS 554/STAT 554/SOC 534; students receive credit for only one.
Offered: jointly with EPI 555/GH 534; Spring
BIOST 555
BIOST 555 Statistical Methods for Spatial Epidemiology
Past syllabus: 2018_WIN_BIOST_555_WakefieldJ.pdf184.91 KB