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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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Epidemiology: Back to the Future.

Andrew F Olshan1, Ana V Diez Roux2, Maureen Hatch3

  • 1Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill North Carolina.

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Summary

The Society for Epidemiologic Research explored the future of epidemiology through 14 papers. These articles address current challenges and future opportunities in research and education for the field.

Keywords:
futurepopulation healthpublic health

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Area of Science:

  • Epidemiology
  • Public Health Research

Background:

  • A 2018 working group convened by the Society for Epidemiologic Research and the American Journal of Epidemiology.
  • Tasked with defining the future trajectory of epidemiological research and practice.

Discussion:

  • The working group produced 14 papers covering diverse aspects of epidemiology.
  • Topics included professional development, educational strategies, research methodologies, and substantive research areas.
  • Four papers specifically reflect on the discipline's present state and future prospects.

Key Insights:

  • Identified current challenges facing the field of epidemiology.
  • Highlighted future opportunities for advancing epidemiological research and education.
  • Emphasized the need for critical reflection on the discipline's evolution.

Outlook:

  • The papers provide a forward-looking perspective on epidemiological science.
  • Aimed at guiding future research agendas and educational curricula.
  • Encourages continued dialogue on the evolving role of epidemiology in public health.