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  2. BST 203

Principles of Biostatistics II
BST 203

Course Information

Description

BST 202 + 203 must be taken consecutively and students must register for both.

This course is the second part of introductory biostatistics; it continues to explore inference in greater depth. Lectures and laboratory exercises will emphasize applied data analysis, building upon the fundamentals emphasized in BST 202. Topics covered include the comparison of two means, analysis of variance, non-parametric methods, inference on proportions, contingency tables, multiple 2 X 2 tables, correlation, simple regression, multiple regression and logistic regression, analysis of survival data, and sampling theory. The computer is used throughout the course, and the student will gain familiarity with the software packages R and STATA.

BST 203 has a required lab section. Students must enroll in both BST 203 and BST 203LAB in the same term. Failure to enroll in both sections will result in the student being dropped from the single enrolled section​.

Course Corequisite(s): BST202

Course is mutually exclusive with BST 201, BST 206, and ID201. You may not take both this course and any of those courses.

School Harvard Chan School
Credits 2.5
Cross Reg

Not Available for Cross Registration

Department Biostatistics
Course Component Lecture
Instruction Mode In Person
Grading Basis HSPH Student Option (Ordinal, Pass/Fail)
Course Requirements Course is mutually exclusive with BST201, BST206, and ID201. You may not take both this course and any of those courses. Course co-requisite: You must register for both this course and BST 202.