scikit-posthocs: Pairwise multiple comparison tests in Python

By Maxim Terpilovskii. Journal of Open Source Software, 2019

316 citations recorded by the source corpus.

Most statistical software packages (such as SPSS and Stata) provide a number of post hoc tests. However, Python ecosystem still lacks implementation of these tests for factorial and block design data. Currently, Student, Wilcoxon, Mann-Whitney tests which are not adapted to multiple pairwise comparisons are offered by SciPy. Statsmodels package includes TukeyHSD test which needs extra actions to be fluently integrated into a data analysis pipeline.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/2c9d02852fa636a8a6d09de286c80fc8ec26636b

Citations in the corpus

• Griffin: Towards a Graph-Centric Relational Database Foundation Model (2025, unknown): “To further quantify the effect of domain transferability, we compute a critical difference ranking (Terpilowski, 2019) to measure average rank improvement across different settings.”