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BST 249 - Bayesian Methodology in Biostatistics or return to Course Catalog Search

190064 – Section 1   

SchoolDepartmentFaculty
Harvard T.H. Chan School of Public HealthBiostatisticsLorenzo Trippa
TermDay and TimeLocation
Fall (Full Semester) 2017  (show academic calendar)TuTh   9:45 a.m. - 11:15 a.m.Kresge 202A (HSPH)
Credits
5  (show credit conversion for other schools)
Credit Level
Graduate

Description
General principles of the Bayesian approach, prior distributions, hierarchial models and modeling techniques, approximate inference, Markov chain Monte Carlo methods, model assessment and comparison. Bayesian approaches to GLMMs, multiple testing, nonparametrics, clinical trails, survival analysis.Course Prerequisites: BST231 and BST232 or instructor permission.Formerly BIO249

Prerequisite(s)
HSPH: BST249

 
Cross Registration
Eligible for cross-registration
With permission of instructor/subject to availability

MIT students please cross register from MIT's Add/Drop application.

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