Nonparametric confidence regions for the symmetry point‐based optimal cutpoint and associated sensitivity of a continuous‐scale diagnostic test

Adimari, Gianfranco; Sinigaglia, Andrea

doi:10.1002/bimj.201900222

Cited by 1 publication

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“…Therefore, ℓ + can be used to build confidence regions for the symmetric point-based optimal thresholds and the associated common value of TCFs. This technique extends the proposal discussed in Adimari and Sinigaglia 27 for two classes, to the three-class setting.…”

Section: Discussionmentioning

confidence: 63%

Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood

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Adimari,

Chiogna

2024

Stat Methods Med Res

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The empirical likelihood is a powerful nonparametric tool, that emulates its parametric counterpart—the parametric likelihood—preserving many of its large-sample properties. This article tackles the problem of assessing the discriminatory power of three-class diagnostic tests from an empirical likelihood perspective. In particular, we concentrate on interval estimation in a three-class receiver operating characteristic analysis, where a variety of inferential tasks could be of interest. We present novel theoretical results and tailored techniques studied to efficiently solve some of such tasks. Extensive simulation experiments are provided in a supporting role, with our novel proposals compared to existing competitors, when possible. It emerges that our new proposals are extremely flexible, being able to compete with contestants and appearing suited to accommodating several distributions, such, for example, mixtures, for target populations. We illustrate the application of the novel proposals with a real data example. The article ends with a discussion and a presentation of some directions for future research.

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Section: Discussionmentioning

confidence: 63%

Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood

To,

Adimari,

Chiogna

2024

Stat Methods Med Res

Self Cite

View full text Add to dashboard Cite

show abstract

Nonparametric confidence regions for the symmetry point‐based optimal cutpoint and associated sensitivity of a continuous‐scale diagnostic test

Abstract: This article has earned an open data badge "Reproducible Research" for making publicly available the code necessary to reproduce the reported results. The results reported in this article could fully be reproduced.

Cited by 1 publication

References 20 publications

Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood

Interval estimation in three-class receiver operating characteristic analysis: A fairly general approach based on the empirical likelihood

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