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Measure of Strength of Evidence for Visually Observed Differences between Subpopulations

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.

Ketersediaan

Informasi Detail

Judul Seri

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS; Vol.33 No.2 June 2024

No. Panggil

-

Penerbit

: .,

Deskripsi Fisik

p. 736-748

Bahasa

English

ISBN/ISSN

-

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

CONFIDENCE INTERVALS
HIGH DIMENSION
BALANCED PERMUTATIONS
CORRELATION ADJUSTMENT
POPULATION CRITERION DIFFERENCE

Info Detail Spesifik

https://doi.org/10.1080/10618600.2023.2276113

Pernyataan Tanggungjawab

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

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