ANOVA with R

Picture source: Fig.2 from Harp et al, eClinical Medicine Volume 39, September 2021, 101045
DOI: https://doi.org/10.1016/j.eclinm.2021.101045.

Topics

• The intuition behind ANOVA: Comparing the means of several samples by analyzing variances.
• Technical details: One-way ANOVA techniques: prerequisites, omnibus F-test, post hoc tests.
• Getting the sample size right: Power and sample size calculations.
• The relationship between ANOVA and linear regression (optional).
• Combination of effects: two-way ANOVA.
• “Are these regression lines different?” Analysis of Covariance (ANCOVA) (optional).

Prerequisites

“Bring Your Own Data”

You can bring your own data to this course and run
a one-way ANOVA on it.

Please prepare a comma-separated-values (CSV) file with UNIX line endings (n) that
contains several (more than 2) columns corresponding to the groups of data whose means you would
like to compare. All groups should contain the same number of observations
(a “balanced” ANOVA design).

Practical information

Number of participants: minimum 5, maximum 10.

Length: The course takes one half-day,
from 09:00 to 13:00 with two short breaks.