Evidence map›Paper›PMID 39659139›Full record

ArticleStatistical methods in medical research2025

Youden index estimation based on group-tested data.

Jin Yang, Aiyi Liu, Neil Perkins, Zhen Chen

Abstract read
In one paragraph

Article in Statistical methods in medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jin YangNational Institute of Child Health and Human Development, Bethesda, Maryland, United States.ORCID 0000-0003-0625-5189
Aiyi LiuNational Institute of Child Health and Human Development, Bethesda, Maryland, United States.ORCID 0000-0002-6618-5082
Neil PerkinsNational Institute of Child Health and Human Development, Bethesda, Maryland, United States.
Zhen ChenNational Institute of Child Health and Human Development, Bethesda, Maryland, United States.

Funding

Statistical methodology development for reproductive and perinatal epidemiologyZIAHD009013 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI CHEN, ZHEN · 2022 to 2025
$2.9M
Intramural NIH HHS ZIA HD009013
6 · The paper itself

Abstract

Youden index, a linear function of sensitivity and specificity, provides a direct measurement of the highest diagnostic accuracy achievable by a biomarker. It is maximized at the cut-off point that optimizes the biomarker's overall classification rate while assigning equal weight to sensitivity and specificity. In this paper, we consider the problem of estimating the Youden index when only group-tested data are available. The unavailability of individual disease statuses poses a challenge, especially when there is differential false positives and negatives in disease screening. We propose both parametric and nonparametric procedures for estimation of the Youden index, and exemplify our methods by utilizing data from the National Health and Nutrition Examination Survey (NHANES) to evaluate the diagnostic ability of monocyte for predicting chlamydia.

Indexed as

BiomarkersSensitivity and SpecificityChlamydia InfectionsHumansMonocytesNutrition SurveysROC CurveBiomarkersDiagnostic accuracydifferential misclassificationgroup testingjoint modelsensitivityspecificity

Identifiers

PMID39659139
PMCPMC12434710

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.