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: descriptive statistics, 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, bootstrapping, and permutation testing. No prior statistical or programming experience is required.

No upcoming classes were found.

Previously offered classes

The next offering of this course is undetermined at this time.