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Use of the p-values as a size-dependent function to address practical differences when analyzing lar...

Use of the p-values as a size-dependent function to address practical differences when analyzing lar...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_acc2d674dbab488ba4d3b0327ac6fb30

Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets

About this item

Full title

Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2021-10, Vol.11 (1), p.20942-20942, Article 20942

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Biomedical research has come to rely on
p-values
as a deterministic measure for data-driven decision-making. In the largely extended null hypothesis significance testing for identifying statistically significant differences among groups of observations, a single
p-value
is computed from sample data. Then, it is routinely compared with a threshold, commonly set to 0.05, to assess the evidence against the hypothesis of having non-significant differences among groups, or the null hypothesis. Because the estimated
p-value
tends to decrease when the sample size is increased, applying this methodology to datasets with large sample sizes results in the rejection of the null hypothesis, making it not meaningful in this specific situation. We propose a new approach to detect differences based on the dependence of the
p-value
on the sample size. We introduce new descriptive parameters that overcome the effect of the size in the
p-value
interpretation in the framework of datasets with large sample sizes, reducing the uncertainty in the decision about the existence of biological differences between the compared experiments. The methodology enables the graphical and quantitative characterization of the differences between the compared experiments guiding the researchers in the decision process. An in-depth study of the methodology is carried out on simulated and experimental data. Code availability at
https://github.com/BIIG-UC3M/pMoSS
....

Alternative Titles

Full title

Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_acc2d674dbab488ba4d3b0327ac6fb30

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_acc2d674dbab488ba4d3b0327ac6fb30

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-021-00199-5

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