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Exploring bias due to below-limit-of-detection values in influenza vaccine antibody modeling: A case study and

Yang Ge1, Andreas Handel2, Philippe J Giabbanelli3

  • 1College of Public Health, The University of Georgia, Athens 30606, GA, USA.

Vaccine
|February 5, 2025
PubMed

Keywords:
HAIInfluenzaLODLimit of detectionVaccine

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Bias

Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
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Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is: