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A Note on the Noncollapsibility of Rate Differences and Rate Ratios
Arvid Sjölander1, Elisabeth Dahlqwist, Johan Zetterqvist
1From the Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Epidemiology (Cambridge, Mass.)
|December 19, 2015
Summary
The odds ratio is noncollapsible, unlike the risk difference and risk ratio. This study explains why rate differences and ratios are also noncollapsible, and when Aalen model coefficients are collapsible.
Area of Science:
- Epidemiology
- Biostatistics
- Statistical Modeling
Background:
- The odds ratio is known to be noncollapsible, meaning its value changes when conditioning on a covariate related to the outcome.
- Risk difference and risk ratio are collapsible, unlike the odds ratio.
- Rate difference and rate ratio are generally noncollapsible, which appears paradoxical given their relationship to risk.
Purpose of the Study:
- To explain why rate difference/ratio are noncollapsible and do not inherit collapsibility from risk difference/ratio.
- To clarify the collapsibility of the exposure coefficient in the Aalen additive hazards model.
- To resolve apparent contradictions regarding collapsibility in different statistical measures.
Main Methods:
- Graphical arguments to illustrate collapsibility concepts.
- Analysis of statistical properties of odds ratio, risk measures, and rate measures.
- Examination of the Aalen additive hazards model.
Main Results:
- Demonstration that rate difference/ratio do not inherit collapsibility from risk difference/ratio.
- Identification of conditions under which the exposure coefficient in the Aalen additive hazards model is collapsible.
- Explanation of the noncollapsibility of rate measures despite their relation to risk.
Conclusions:
- Rate measures (difference and ratio) are generally noncollapsible.
- The exposure coefficient in the Aalen additive hazards model exhibits collapsibility under specific conditions.
- Graphical methods provide clarity on complex collapsibility phenomena in statistical measures.
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