Course description

This course in Biostatistics uses the R programming language as a platform for analysis. Students will be introduced to different types of statistical analysis while becoming comfortable writing basic code in the R programming language. Topics will include: inference, experimental design and hypothesis testing; assumptions behind statistical models and choice of statistical tests; analysis of variance and covariance; general linear models and interactions; regression; and parametric and non-parametric tests, and bootstrapping.

No upcoming classes were found.

Previously offered classes

Summer 2023: Online course

Section ID:BIOEE 4940 001-LEC
Topic:Biostatistics with R
Session:Summer 6-week
Class dates:June 20-July 28, 2023
Final exam/project due:Friday July 28, 11:59 PM (see Final exams)
Time / room:
Mode of instruction:Online (async)
Grade:Student option
Instructor:Drake, A. (agd76)
Max. enroll:15
Notes:The lecture and lab are combined in the summer.
To enroll:Enrollment for this class is closed.

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