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The relative risk (also called 'risk ratio') is the quotient of the probabilities of an event under two conditions (ie, p1/p2). The RR has a possible range of [0, +infinity). It is a common measure of effect size in biomedical research.

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Conventions for interpretation of risk ratios

Although the convention exists that does not make it useful of course. Since it compares the shift in location with variability it means that two studies which achieve the same effect in absolute term …
mdewey's user avatar
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5 votes

Why is relative risk not valid in case control studies?

To obtain the relative risk you have to know the risk for each level of the exposure. If you sample people with each level of the exposure then you can estimate their risk of disease. You can then com …
mdewey's user avatar
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1 vote

Comparing relative risks of independent samples

You could consider this as an example of meta-regression. You would set up your data frame to have columns for RR, CILB, CIUB, study, agegrp. Then you would enter both study and agregrp as moderators …
mdewey's user avatar
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2 votes

How to carry out adjusted indirect comparison or 'Bucher method' meta-analysis

Assuming the two groups of studies are independent then http://www.metafor-project.org/doku.php/tips:comp_two_independent_estimates shows you how to do this in R but I think it should be portable to o …
mdewey's user avatar
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1 vote

Can Relative Risk mislead us when choosing predictors for a logistic model?

This is not a direct answer to your question but I suspect it might solve some issues for you. A relative risk compares two groups so in your situation you could compare the risk of defaulting in gro …
mdewey's user avatar
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