Hierarchical and Covariance Models for Public Health Data

Center for Disease Control and Prevention (CDC) - Atlanta, GA

Sep 15th - Sep 16th, 2010

Prof. Sudipto Banerjee

University of Minnesota

http://www.biostat.umn.edu/~sudiptob

This course provides a two-day introduction to Bayesian hierarchical models for statisticians who need to examine correlated data. The course will cover models dealing with three types of data: univariate, multivariate, and spatial. The course will also discuss the use of survey sampling and generalized linear models in the context of hierarchical modeling and spatial data analysis. Examples using public health and environmental data will be illustrated using R and WinBUGS.

The following are useful text books for Bayesian statistics, modeling and hierarchical models:

Banerjee, S., Carlin, B.P. and Gelfand, A.E. (2004). Hierarchical Modeling and Analysis for Spatial Data. Publisher: CRC/Chapman and Hall.

Waller, L. and Gotway, C. (2004). Applied Spatial Statistics for Public Health Data. Publishers: John Wiley and Sons.

Carlin, B.P. and Louis, T.A. (2008). Bayesian Methods for Data Analysis. Third Edition. Publisher: CRC/Chapman and Hall.

Gelman, A., Carlin, J.B., Stern, H.S. and Rubin, D.B. (2004). Bayesian Data Analysis. Second Edition. Publisher: CRC/Chapman and Hall.

Dalgaard, P. (2002). Introductory Statistics with R.

Faraway, J.J. (2005). Linear Models with R. Publisher: CRC/Chapman and Hall.

Lee, P.M. (2004). Bayesian Statistics Publisher: Hodder Arnold

The web sites for softwares:

WinBUGS or OpenBUGS

You can download the new registration key for WinBUGS from HERE. NOTE THAT YOU DO NOT REQUIRE ANY REGISTRATION KEY FOR OPENBUGS.