Estimating confidence intervals for the difference in diagnostic accuracy with three ordinal diagnostic categories without a gold standard

DOI10.1016/J.CSDA.2013.07.007zbMath1471.62101OpenAlexW1999879874WikidataQ37442519 ScholiaQ37442519MaRDI QIDQ1615158

Chengjie Xiong, Le Kang, Lili Tian

Publication date: 2 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3883051

zbMATH Keywords

EM algorithmparametric bootstrapgold standardvolume under the ROC surfacegeneralized pivot

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Parametric tolerance and confidence regions (62F25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bootstrap, jackknife and other resampling methods (62F40)

Uses Software

• bootstrap

Cites Work

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• Exact confidence interval estimation for the difference in diagnostic accuracy with three ordinal diagnostic groups
• Bootstrap methods: another look at the jackknife
• A parametric bootstrap procedure to estimate the selected mean using censored data
• Generalized inferences on the common mean vector of several multivariate normal populations
• Multiple-event forced-choice tasks in the theory of signal detectability
• Optimal choice between parametric and non-parametric bootstrap estimates
• A Parametric Comparison of Diagnostic Accuracy with Three Ordinal Diagnostic Groups

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