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Quality Control and Good Epidemiological Practice

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Handbook of Epidemiology

Abstract

The use of data is fundamental in epidemiology. Epidemiological research on causation uses data in a search for the true nature of the relationship between exposure and disease. Increasingly, research with biomarkers of susceptibility, exposure, and response seeks to characterize mechanisms of disease causation. Research on the consequences of interventions seeks an unbiased assessment of the effects of independently varying factors on the outcome measure(s).

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Authors and Affiliations

  1. Division of Cancer Control and Population Sciences and Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, 4E442, 20850, Rockville, MD, USA

    Gila Neta

  2. Director, University of Southern California (USC) Institute for Global Health, Professor and Flora L. Thornton Chair, Department of Preventive Medicine Keck School of Medicine of USC, Los Angeles, California, USA

    Jonathan M. Samet

  3. South Asia Region Center for Global Health, US National Cancer Institute, New Delhi, India

    Preetha Rajaraman

Authors
  1. Gila Neta
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  2. Jonathan M. Samet
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  3. Preetha Rajaraman
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Editors and Affiliations

  1. Department of Epidemiological Methods and Etiologic Research, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany

    Wolfgang Ahrens

  2. Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany

    Iris Pigeot

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Neta, G., Samet, J.M., Rajaraman, P. (2014). Quality Control and Good Epidemiological Practice. In: Ahrens, W., Pigeot, I. (eds) Handbook of Epidemiology. Springer, New York, NY. https://doi.org/10.1007/978-0-387-09834-0_14

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