A tailored fit that doesn’t fit all: the problem of threshold overfitting in diagnostic studies

Threshold overfitting remains an underrecognized but methodologically critical source of bias in diagnostic accuracy studies. Addressing it requires more than awareness - it demands transparent reporting, proper validation, and stricter adherence to methodological standards.

Authors

Javier Arredondo Montero (ORCID: https://orcid.org/0000-0002-0943-6367)

Institutions

Complejo Asistencial Universitario de Palencia (ES)

Publication Details

Journal: Diagnosis
Published: 2025-09-16
DOI: https://doi.org/10.1515/dx-2025-0096
Citations: 1
Primary Topic: Meta-analysis and systematic reviews
Type: article
Field-Weighted Citation Impact: 1.40

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article

A tailored fit that doesn’t fit all: the problem of threshold overfitting in diagnostic studies

Javier Arredondo Montero

Sep 16, 2025

1 citations

Diagnosis

Meta-analysis and systematic reviews

1.40

article

A tailored fit that doesn’t fit all: the problem of threshold overfitting in diagnostic studies

Javier Arredondo Montero

September 16, 2025article en

1 citations

Abstract

Diagnosis

Complejo Asistencial Universitario de Palencia (ES)

Openalex Percentile: Top 13%

Meta-analysis and systematic reviews

1.40

DOI Source OpenAlex

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A tailored fit that doesn’t fit all: the problem of threshold overfitting in diagnostic studies — Javier Arredondo Montero · Diagnosis (2025) | TGRS Research Map | TGRS