Work

Measure of Strength of Evidence for Visually Observed Differences between Subpopulations

Year: 2025

Type: article

Abstract: For measuring the strength of visually observed subpopulation differences, the Population Difference Criterion is proposed to assess the statistical significance of visually observed subpopulation differences. It addresses the following challenges: in high-dimensional contexts, distributional models can be dubious; in high-signal contexts, conventional permutation tests give poor pairwise comparisons. We also make two other contributions: Based on a careful analysis we find that a balanced permutation approach is more powerful in high-signal contexts than conventional permutations. Another contribution is the quantification of uncertainty due to permutation variation via a bootstrap confidence interval. The practical usefulness of these ideas is illustrated in the comparison of subpopulations of modern cancer data.

Source: Carolina Digital Repository (University of North Carolina at Chapel Hill)

DOI: 10.17615/e607-7887

Authors: Yang, Xi, Marron, J. S., Hannig, Jan, Hoadley, Katherine A., Carmichael, Iain

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funder: Directorate for Mathematical and Physical Sciences

OpenAlex ID: W4415187152

FWCI:

Cites:

Cited by:

Related to: