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Introduction to Statistical Methods
BST 201

Course Information

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 and SM1: Social and Behavioral Sciences (SBS)
PHD: Biological Science in Public Health (BPH)
MPH: Quantitative Methods (QM)
SM1: Health Policy and Management
Other programs please see ID201

School Harvard Chan School
Credits 5
Cross Reg

Available for Harvard Cross Registration

Department Biostatistics
Course Component Lecture
Instruction Mode In Person
Grading Basis HSPH Student Option (Audit, Ordinal, Pass/Fail)
Course Requirements Course is mutually exclusive with BST202, 203, 206, and ID201. You may not take both this course and any of those courses.