Brown, Jeremy P; Hunnicutt, Jacob N; Ali, M Sanni; Bhaskaran, Krishnan; Cole, Ashley; Langan, Sinead M; Nitsch, Dorothea; Rentsch, Christopher T; Galwey, Nicholas W; Wing, Kevin; +1 more... Douglas, Ian J; (2024) Quantifying possible bias in clinical and epidemiological studies with quantitative bias analysis: common approaches and limitations. BMJ, 385. e076365-. ISSN 0959-8138 DOI: https://doi.org/10.1136/bmj-2023-076365
Permanent Identifier
Use this Digital Object Identifier when citing or linking to this resource.
Abstract
Bias in epidemiological studies can adversely affect the validity of study findings. Sensitivity analyses, known as quantitative bias analyses, are available to quantify potential residual bias arising from measurement error, confounding, and selection into the study. Effective application of these methods benefits from the input of multiple parties including clinicians, epidemiologists, and statisticians. This article provides an overview of a few common methods to facilitate both the use of these methods and critical interpretation of applications in the published literature. Examples are given to describe and illustrate methods of quantitative bias analysis. This article also outlines considerations to be made when choosing between methods and discusses the limitations of quantitative bias analysis.
Item Type | Article |
---|---|
Faculty and Department |
Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology Faculty of Infectious and Tropical Diseases > Dept of Disease Control |
Research Centre | EHR Research Group |
PubMed ID | 38565248 |
Elements ID | 217868 |
Official URL | http://dx.doi.org/10.1136/bmj-2023-076365 |
Download
Filename: Brown-etal-2024-Quantifying-possible-bias-in-clinical.pdf
Description: This is an author accepted manuscript version of an article accepted for publication, and following peer review. Please be aware that minor differences may exist between this version and the final version if you wish to cite from it.
Licence: Copyright the author(s)
Download