Cited by 159Meta-analysis and systematic reviewsProbability and Statistical ResearchStatistical Methods in Clinical Trials

Confidence intervals for an effect size measure based on the Mann–Whitney statistic. Part 2: asymptotic methods and evaluation

Newcombe, Robert G.·2006·Statistics in Medicine

Abstract

Several asymptotic confidence interval methods for U / mn , the Mann–Whitney U statistic divided by the product of the two sample sizes, are developed and evaluated alongside published methods. Novel methods derived from Gaussian and beta models perform well, though overall a modification of the Hanley–McNeil approach (method 5 in this evaluation) performed better and is recommended for calculating confidence intervals for U / mn for continuously distributed data. Copyright © 2005 John Wiley & Sons, Ltd.

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Crossref · 10.1002/sim.2324

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Authors
Newcombe, R. G.
Affiliations
Cardiff University (GB)
Corresponding author
Newcombe, Robert G.
Venue
Statistics in Medicine
Publisher
Wiley
Published
2005-10-11
Volume
25
Issue
4
Pages
559-573
ISSN
  • 0277-6715 (ISSN-L)
  • 1097-0258
OpenAlex
W2152394445
Cited by
159
References
18
Citations by year
2026: 8 · 2025: 13 · 2024: 9 · 2023: 5 · 2022: 7 · 2021: 14 · 2020: 10 · 2019: 10 · 2018: 11 · 2017: 8 · 2016: 4 · 2015: 5 · 2014: 5 · 2013: 7 · 2012: 13
FWCI
2.70
Type
journal article
Language
en
Open access
closed
Locations
  • Statistics in Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Keywords
effect size, confidence intervals, asymptotic methods, Gaussian model, beta model, continuous data, two-sample comparison
MeSH terms
Data Interpretation, Statistical, Humans, Confidence Intervals, Sample Size, Statistics, Nonparametric

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