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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:  
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Rethinking researcher bias in health research.

Stephen Buetow1, Kristina Zawaly1,2

  • 1University of Auckland, Auckland, New Zealand.

Journal of Evaluation in Clinical Practice
|September 30, 2021
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Summary
This summary is machine-generated.

Researcher bias in health research, while distinct from harmful research bias, can be valuable. Consciously engaging with researcher subjectivity can lead to innovative health policies.

Keywords:
biaserrorprejudiceresearcher

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Area of Science:

  • Health Sciences
  • Medical Research Ethics

Background:

  • Bias is often viewed negatively, but its role in health research, particularly researcher bias, is complex.
  • Distinguishing between harmful research bias (error) and researcher bias (tendency) is crucial.

Purpose of the Study:

  • To explore the potentially beneficial aspects of researcher bias in health sciences.
  • To propose a framework for utilizing researcher bias constructively in health research.

Main Methods:

  • Conceptual analysis of bias in health research contexts.
  • Exploration of researcher subjectivity and its role in scientific inquiry.
  • Discussion of a dialectical approach for engaging researcher biases.

Main Results:

  • Researcher bias, when made conscious, can serve as a tool for 'volume control' and 'smart working' in research.
  • A dialectical approach allows for creative engagement with uncertainty and irregularity.
  • Positionality and the interests served by researcher bias are key considerations.

Conclusions:

  • Health researchers should acknowledge and consciously engage with their biases.
  • Utilizing researcher bias dialectically can foster innovation in health policy.
  • Transparency, good faith, and tolerance are essential principles when addressing researcher bias.