Power and Sample Size Estimation for the Wilcoxon Rank Sum Test with Application to Comparisons of C Statistics from Alternative Prediction Models

DOI10.1111/j.1541-0420.2008.01062.xzbMath1161.62022OpenAlexW2046701312WikidataQ45218406 ScholiaQ45218406MaRDI QIDQ3623756

Bernard Rosner, Robert J. Glynn

Publication date: 23 April 2009

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2008.01062.x

zbMATH Keywords

receiver operating characteristic curveprobit transformationalternative antihypertensive therapiesMann-Whitney \(U\) test

Mathematics Subject Classification ID

Related Items (8)

Performance of reclassification statistics in comparing risk prediction models ⋮ Joint distribution of rank statistics considering the location and scale parameters and its power study ⋮ On Sample Size of the Kruskal-Wallis Test with Application to a Mouse Peritoneal Cavity Study ⋮ Power and Sample Size Estimation for the Clustered Wilcoxon Test ⋮ Unnamed Item ⋮ On stochastic orderings of the Wilcoxon rank sum test statistic-with applications to reproducibility probability estimation testing ⋮ Assessing discrimination of risk prediction rules in a clustered data setting ⋮ Assessing Discrimination of Risk Prediction Rules in a Clustered Data Setting

Uses Software

• SAS

Cites Work

• Unnamed Item
• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
• The Efficiency of Some Nonparametric Competitors of the $t$-Test
• Rank correlation and product-moment correlation

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