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.
The aim of this short course is to explain why we have to analyse variances
if we want to compare group means using ANOVA techniques. This lecture is best taken with
the Linear regression with R course.
Please note that we cannot go into the specific data analysis problems of your particular project.
Instructor: András Aszódi.
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).
Number of participants: minimum 5, maximum 10.
Length: The course takes one half-day,
from 09:00 to 13:00 with two short breaks.
Please provide affiliated Organisation, and your use-case or resource use estimation (CPU-hours, GPU-hours, Memory)