Lawrence Joseph
Bayesian statistics


Please Note: Prof. Joseph has retired.
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Course outline
Basic information
Instructor Lawrence Joseph
Credits 2
Course Objectives and Topics CoveredBayesian design and analysis with applications specifically geared towards epidemiological research. Topics may include a selection from multi-leveled hierarchical models, conditional logistic regression, diagnostic tests, Bayesian sample size methods, issues in clinical trials, measurement error, missing data problems and decision analysis. Programming in R and WinBUGS.
TimeMondays 11:00 AM - 1:00 PM (January 7 - April 15).
PlacePurvis Hall Room 25
AssessmentFive assignments, worth 20% each. There will be no midterm or final exams.
Assignment due dates
1    2    3    4    5
January 28, 2013
 February 11, 2013
 February 25, 2013
 March 25, 2013
 April 15, 2013
TextbookAndrew Gelman, John Carlin, Hal Stern and Donald Rubin. Bayesian Data Analysis, 2nd Edition, Chapman and Hall, 2003. Textbook review of Gelman et al
PrerequisitesEPIB 668 or EPIB 675, or permission from the instructor.