Comparison of methods to handle missing values in the index test in a diagnostic accuracy study – two simulation studies

Introduction: Most diagnostic accuracy studies apply a complete case analysis (CCA) or single imputation to address missing values in the index test [ref:1], [ref:2], which may lead to biased results [ref:3]. Despite being available, methods to handle missing values in [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds078
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
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article

Comparison of methods to handle missing values in the index test in a diagnostic accuracy study – two simulation studies

German Medical Science (German Research Foundation)
Statistical Methods and Bayesian Inference
article

Comparison of methods to handle missing values in the index test in a diagnostic accuracy study – two simulation studies

article en

Abstract

Introduction: Most diagnostic accuracy studies apply a complete case analysis (CCA) or single imputation to address missing values in the index test [ref:1], [ref:2], which may lead to biased results [ref:3]. Despite being available, methods to handle missing values in [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Universität Hamburg (DE), University Medical Center Utrecht (NL), University Medical Center Hamburg-Eppendorf (DE), McGill University (CA)
Openalex Percentile: Top 36%
Statistical Methods and Bayesian Inference
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