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BST 222 - Basics of Statistical Inference or return to Course Catalog Search

190039 – Section 1   

SchoolDepartmentFaculty
Harvard T.H. Chan School of Public HealthBiostatisticsDavid Wypij
TermDay and TimeLocation
Fall (Full Semester) 2017  (show academic calendar)TuTh   8:00 a.m. - 9:30 a.m.FXB G12 (HSPH)
Credits
5  (show credit conversion for other schools)
Credit Level
Graduate

Description
This course will provide a basic, yet thorough introduction to the probability theory and mathematical statistics that underlie many of the commonly used techniques in public health research. Topics to be covered include probability distributions (normal, binomial, Poisson), means, variances and expected values, finite sampling distributions, parameter estimation (method of moments, maximum likelihood), confidence intervals, hypothesis testing (likelihood ratio, Wald and score tests). All theoretical material will be motivated with problems from epidemiology, biostatistics, environmental health and other public health areas. This course is aimed towards second year doctoral students in fields other than Biostatistics. Background in algebra and calculus required.Course Prerequisites: BST210 or BST213Formerly BIO222

Prerequisite(s)
HSPH: BST222

 
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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