Permutation methods provide flexible, distribution-free approaches to statistical inference by rearranging data labels to generate an empirical null distribution for a test statistic. Historically ...

Abstract: A new statistical permutation analysis method is presented in this paper to efficiently and accurately localize regionally specific shape differences between groups of 3D biomedical images.

This project focuses on applying Bootstrap resampling and Permutation tests to analyze statistical hypotheses. The primary objective is to estimate confidence intervals, conduct hypothesis testing, ...

def test_pairwise(subject,frequency,output_path,condition_names,measure,data1_ctb,data2_ctb,p=0.05,permutations=1000): #b are the dimensions distances are measured, resulting in one significance level ...