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Handbook of Epidemiology pp 1087–1159Cite as

Regression Methods for Epidemiological Analysis

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Abstract

Basic tabular and graphical methods are an essential component of epidemiological analysis and are often sufficient, especially when one need consider only a few variables at a time. They are, however, limited in the number of variables that they can examine simultaneously and in detail they can consider continuous variables. Even sparse-strata methods (such as Mantel-Haenszel) require that some strata have two or more subjects; yet, as more and more variables or categories are added to a stratification, the number of subjects in each stratum may eventually drop to 0 or 1.

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Authors and Affiliations

  1. Department of Epidemiology, School of Public Health, University of California, 90095-1772, Los Angeles, CA, USA

    Sander Greenland

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  1. Sander Greenland
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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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Greenland, S. (2014). Regression Methods for Epidemiological Analysis. In: Ahrens, W., Pigeot, I. (eds) Handbook of Epidemiology. Springer, New York, NY. https://doi.org/10.1007/978-0-387-09834-0_17

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  • DOI: https://doi.org/10.1007/978-0-387-09834-0_17

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