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In defense of standardized regression coefficients
1Department of Pediatrics, University of California, San Francisco.
Epidemiology (Cambridge, Mass.)
|September 1, 1991
Summary
Standardized regression coefficients are valuable in epidemiology for comparing risk factors measured in different units or across populations. Providing standard deviations prevents misinterpretation, supporting their continued use in analyses.
Area of Science:
- Epidemiology
- Biostatistics
Background:
- The association between risk factors and diseases is often quantified using regression coefficients.
- Standardized regression coefficients, when exponentiated, represent odds ratios for a one-unit change in a risk factor.
Purpose of the Study:
- To evaluate the utility of standardized regression coefficients in epidemiologic research.
- To address recent recommendations against their use.
Main Methods:
- Utilized logistic regression models to derive standardized regression coefficients.
- Presented examples demonstrating the application and interpretation of these coefficients.
Main Results:
- Standardized regression coefficients facilitate comparison of continuous risk factors with different units.
- They are also useful for comparing the impact of the same risk factor across diverse populations.
- Providing standard deviations is crucial for accurate interpretation.
Conclusions:
- Standardized regression coefficients remain a useful tool in epidemiologic analysis.
- Their appropriate use, with accompanying standard deviations, avoids misinterpretation.
- There is no justification for abandoning their application in epidemiology.