Multiple Hypothesis Testing – Hanken School of Economics

23rd May 2026

Multiple Hypothesis Testing – 23–27 May 2026, Hanken School of Economics

This 5 ECTS course, hosted by the Hanken School of Economics and organized in collaboration with the Finnish Statistical Society and the Finnish Society of Biostatistics, provides a comprehensive introduction to modern multiple hypothesis testing for graduate and doctoral students.
The programme covers single-hypothesis testing foundations (classical, permutation, bootstrap and e-value approaches) and major multiple testing criteria, including global testing, familywise error rate control (Bonferroni and more advanced methods), false discovery rate control (Benjamini-Hochberg and knockoffs), false discovery exceedance control, and simultaneous false discovery proportion control. In particular, closed testing and resampling methods are covered. Methods which are popular in economics (e.g. Romano–Wolf procedures) and biostatistics, as well as software implementations in R will be discussed.

The course consists of 20 hours of lectures and exercise sessions and concludes with a written take-home exam. There is no course fee.

Application deadline: 27 April 2026

More information and application details you can find here.