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Essentials of Clinical Research pp 279–294Cite as

Association, Cause, and Correlation

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Abstract

Anything one measures can become data, but only those data that have meaning can become information. Information is almost always useful, data may or may not be. This chapter will address the various ways one can measure the degree of association between an exposure and an outcome and will include a discussion of relative and absolute risk, odds ratios, number needed to treat, and related measures.

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Author information

Authors and Affiliations

  1. Univesity of Alabama at Birmingham, Birmingham, Alabama, 1717 11th Ave. South MT 638, Birmingham, AL

    Stephen P. Glasser (Professor of Medicine and Epidemiology)

  2. School of Public Health, University of Alabama at Birmingham, Birmingham, AL

    Gary Cutter Ph.D. (Professor of Biostatistics)

Authors
  1. Stephen P. Glasser
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  2. Gary Cutter Ph.D.
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Editor information

Editors and Affiliations

  1. University of Alabama at Birmingham, AL, USA

    Stephen P. Glasser

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© 2008 Springer Science + Business Media B.V

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Glasser, S.P., Cutter, G. (2008). Association, Cause, and Correlation. In: Glasser, S.P. (eds) Essentials of Clinical Research. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8486-7_16

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  • DOI: https://doi.org/10.1007/978-1-4020-8486-7_16

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-8485-0

  • Online ISBN: 978-1-4020-8486-7

  • eBook Packages: MedicineMedicine (R0)

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