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BST 201 - Introduction to Statistical Methods or return to Course Catalog Search

190012 – Section 1   

SchoolDepartmentFaculty
Harvard T.H. Chan School of Public HealthBiostatisticsPaul Catalano
TermDay and TimeLocation
Fall (Full Semester) 2017  (show academic calendar)TuTh   3:45 p.m. - 5:15 p.m.Kresge G1 (HSPH)
Credits
5  (show credit conversion for other schools)
Credit Level
Graduate

Description
Covers basic statistical techniques that are important for analyzing data arising from epidemiology, environmental health and biomedical and other public health-related research. Major topics include descriptive statistics, elements of probability, introduction to estimation and hypothesis testing, nonparametric methods, techniques for categorical data, regression analysis, analysis of variance, and elements of study design. Applications are stressed. Designed for students desiring more emphasis on theoretical developments. Background in algebra and calculus strongly recommended.BST201 is restricted to the following programs:All Degrees in the following departments: Epidemiology (EPI), Division of Biological Sciences (DBS), Environmental Health (EH), Nutrition (NUT)SM2: Global Health and Population (GHP)SD: Social and Behavioral Sciences (SBS)PHD: Biological Science in Public Health (BPH)MPH: Quantitative Methods (QM)Other programs please see ID201Formerly BIO201

Prerequisite(s)
HSPH: BST201

 
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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