Course OutlineCourse OutlineCourse OutlineCourse OutlineCourse OutlineCourse OutlineCourse OutlineCourse OutlineCourse OutlineCourse OutlineTextbook for this courseTextbook for this courseSpatial Epidemiologya three-day Erasmus Summer Programme coursepresented byBradley P. CarlinDivision of Biostatistics, School of Public Health, University of MinnesotaandAlan E. GelfandInstitute of Statistics and Decision Sciences, Duke [email protected] and [email protected] Epidemiology – p. 1/7Course OutlineDay 1 (Wednesday)Afternoon Session IOverview of spatial data: Types of data, examples,spatial point patterns, projections (Ch 1, BCG text)(Break)Spatial Epidemiology – p. 2/7Course OutlineDay 1 (Wednesday)Afternoon Session IOverview of spatial data: Types of data, examples,spatial point patterns, projections (Ch 1, BCG text)(Break)Afternoon Session IIBasics of point-referenced data models: stationarity,variograms, spatial exploratory data analysis (EDA),kriging (Ch 2)Spatial Epidemiology – p. 2/7Course OutlineDay 2 (Thursday)Morning Session IBasics of areal data models: EDA, Brook’s Lemma,Markov random fields, CAR models (Ch 3)Basics of Bayesian inference: Estimation, testingand model choice, computation via MCMC (Ch 4)(Break)Spatial Epidemiology – p. 3/7Course OutlineDay 2 (Thursday)Morning Session IBasics of areal data models: EDA, Brook’s Lemma,Markov random fields, CAR models (Ch 3)Basics of Bayesian inference: Estimation, testingand model choice, computation via MCMC (Ch 4)(Break)Morning Session IIHierarchical modeling for univariate spatial data:Spatial process models, spatial GLMs (Ch 5)Spatial Epidemiology – p. 3/7Course OutlineDay 2 (Thursday, cont’d)(Lunch)Spatial Epidemiology – p. 4/7Course OutlineDay 2 (Thursday, cont’d)(Lunch)Afternoon Session (computer lab session)Elementary geoR, spBayes, and WinBUGS softwaredemo: Scallops (point-referenced, Gaussian), lipcancer (areal, Poisson) and home prices(point-referenced, binomial) examplesgeoR, spBayes, and WinBUGS software practice:Examples from morning session revisited, plustutorials in the BCG book (Secs 2.5 and 3.5)Spatial Epidemiology – p. 4/7Course OutlineDay 3 (Friday)Morning Session ISpatial misalignment: Point-level, areal level,misaligned regression (Ch 6)Multivariate spatial modeling: Separable models,multivariate areal (MCAR) models (Ch 7)(Break)Spatial Epidemiology – p. 5/7Course OutlineDay 3 (Friday)Morning Session ISpatial misalignment: Point-level, areal level,misaligned regression (Ch 6)Multivariate spatial modeling: Separable models,multivariate areal (MCAR) models (Ch 7)(Break)Morning Session IISpatiotemporal modeling: Point-referenced versusareal unit data (Ch 8)Spatial point pattern modeling (“Ch 9" – not in thebook yet!); catch up; Q&A periodSpatial Epidemiology – p. 5/7Course OutlineDay 3 (Friday, cont’d)(Lunch)Spatial Epidemiology – p. 6/7Course OutlineDay 3 (Friday, cont’d)(Lunch)Afternoon Session (computer lab session)spBayes and WinBUGS software practice: Examplesfrom morning session revisited, plus advancedtutorials in the BCG book (Sec 4.4)Summary and floor discussion; Q&A periodSpatial Epidemiology – p. 6/7Textbook for this courseRecommended: Hierarchical Modeling and Analysis forSpatial Data (ISBN 1-58488-410-X) by SudiptoBanerjee, Bradley P. Carlin, and Alan E. Gelfand,Boca Raton, FL: Chapman and Hall/CRC Press,January 2004.Spatial Epidemiology – p. 7/7Textbook for this courseRecommended: Hierarchical Modeling and Analysis forSpatial Data (ISBN 1-58488-410-X) by SudiptoBanerjee, Bradley P. Carlin, and Alan E. Gelfand,Boca Raton, FL: Chapman and Hall/CRC Press,January 2004.Other books of interest:Your favorite math stat and linear models booksYour favorite GIS reference manualStatistics for Spatial Data, rev. ed., by Noel Cressie,New York: John Wiley and Sons, 1993.Bayes and Empirical Bayes Methods for DataAnalysis, 2nd ed., by Bradley P. Carlin and ThomasA. Louis, Boca Raton, FL: Chapman and Hall/CRCPress, 2000.Spatial Epidemiology – p.