Quantitative bias analysis for mismeasured variables in health research: a review of software tools

Abstract Background Measurement error and misclassification can cause bias or loss of power in epidemiological studies. Software performing quantitative bias analysis (QBA) to assess the sensitivity of results to mismeasurement are available. However, QBA is still not commonly used in practice, part...

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Bibliographic Details
Main Authors: Codie J. C. Wood, Kate Tilling, Jonathan W. Bartlett, Rachael A. Hughes
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Medical Research Methodology
Subjects:
Online Access:https://doi.org/10.1186/s12874-025-02635-w
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