Relation between odds ratio and relative risk

In summary, the odds ratio and relative risk are related by the formula OR = \frac{RR}{(1-p_{0})} \frac{1}{(1-p_{0} RR)}, where p_{0} is the probability of disease for a non-exposed person and p_{1} is the probability of disease for an exposed person.
  • #1
vladimir69
130
0
i am required to show that the odds ratio, "OR", and relative risk, "RR", are related by:
[tex] OR = \frac{RR}{(1-p_{0})} \frac{1}{(1-p_{0} RR)}[/tex]

where [tex] p_{0}[/tex] is the probability of disease for a non-exposed person and [tex] p_{1}[/tex] is the probability of disease for an exposed person.

from the notes i have that
[tex] RR = \frac{p_{1}}{p_{0}}[/tex]
and
[tex] OR = \frac{p_{1} (1-p_{0})}{p_{0} (1-p_{1})} [/tex]
so when i put these into the mixing pot out pops
[tex] OR = \frac{RR (1-p_{0})}{1-p_{1}} [/tex]
but there is a troublesome [tex] p_{1}[/tex] in there which i can't seem to easily get rid of. i have tried using bayes formula but it just gets messy

could someone pls show me how to get rid of the [tex] p_{1}[/tex]
perhaps i am going the wrong way about it after doing a bit of backward engineering, but these are all the formulas i know

thnx,
vladimir
 
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  • #2


Hello Vladimir,

Thank you for your question. Let's go through the steps to show that the odds ratio and relative risk are related by the formula you provided.

First, let's start with the definition of relative risk:

RR = \frac{p_{1}}{p_{0}}

Next, let's substitute this into the definition of odds ratio:

OR = \frac{p_{1} (1-p_{0})}{p_{0} (1-p_{1})}

Now, we can rearrange this equation by multiplying both the numerator and denominator by (1-p_{1}):

OR = \frac{p_{1} (1-p_{0})(1-p_{1})}{p_{0} (1-p_{1})^{2}}

Next, we can use the definition of relative risk again to substitute for p_{1}:

OR = \frac{RR (1-p_{0})(1-p_{1})}{p_{0} (1-p_{1})^{2}}

Since we know that p_{1} = RR p_{0}, we can substitute this in for p_{1} in the numerator:

OR = \frac{RR (1-p_{0})(1-RR p_{0})}{p_{0} (1-p_{1})^{2}}

Finally, we can simplify this by factoring out p_{0} from the numerator and denominator:

OR = \frac{RR (1-p_{0})}{p_{0} (1-p_{1})} \frac{1}{(1-p_{1})}

And since we know that p_{1} = RR p_{0}, we can substitute this in for p_{1} in the second fraction:

OR = \frac{RR (1-p_{0})}{p_{0} (1-RR p_{0})} \frac{1}{(1-RR p_{0})}

This is almost the same as the formula you provided, except for the extra factor of (1-p_{0}) in the numerator. However, we can use the fact that p_{0} + p_{1} = 1 to rewrite this as:

OR = \frac{RR (1-p_{0})}{p_{0} (1-p_{0})} \frac{1}{(1-RR p_{0})}

And since (1-p_{0}) cancels out, we are left with:

 
  • #3



Dear Vladimir,

Thank you for your question. The relation between odds ratio and relative risk is an important concept in epidemiology and medical research. It is used to measure the strength of association between an exposure and a disease outcome.

To understand the relationship between odds ratio (OR) and relative risk (RR), let's first define these terms. OR is the ratio of the odds of an event occurring in the exposed group to the odds of the event occurring in the non-exposed group. It is calculated as follows:

OR = (a/c) / (b/d) = ad/bc

where a is the number of exposed individuals with the event, b is the number of exposed individuals without the event, c is the number of non-exposed individuals with the event, and d is the number of non-exposed individuals without the event.

On the other hand, RR is the ratio of the probability of the event occurring in the exposed group to the probability of the event occurring in the non-exposed group. It is calculated as follows:

RR = (a/(a+b)) / (c/(c+d)) = (a/(a+b)) / (1 - a/(a+b)) x (1 - c/(c+d)) / (c/(c+d))

= (a/(a+b)) / (c/(c+d)) x (d/(c+d)) / (b/(a+b))

= (a/c) x (d/b)

= ad/bc

= OR

As you can see, the odds ratio and relative risk are actually the same. This is because the odds of an event occurring are directly related to the probability of the event occurring. So, we can say that:

OR = RR

Now, let's look at the formula you mentioned in your question:

OR = \frac{RR}{(1-p_{0})} \frac{1}{(1-p_{0} RR)}

This formula is derived using the definition of odds ratio and relative risk. You can see that both the numerator and denominator contain p0, which is the probability of disease for a non-exposed person. However, p1, which is the probability of disease for an exposed person, is not present in the final formula. This is because when we divide the numerator and denominator by p1, it cancels out from both the numerator and denominator, leaving us with just p0.

So, to summarize, the odds ratio and relative risk
 

What is the difference between odds ratio and relative risk?

The odds ratio and relative risk are both measures of association between an exposure and an outcome. However, they differ in the way they are calculated and interpreted. The odds ratio is the ratio of the odds of an outcome occurring in the exposed group compared to the unexposed group, while the relative risk is the ratio of the risk of an outcome occurring in the exposed group to the unexposed group. In other words, odds ratio compares the odds of an event happening between two groups, while relative risk compares the overall risk of an event happening between two groups.

When is it appropriate to use odds ratio versus relative risk?

The choice of using odds ratio or relative risk depends on the research question and the study design. Odds ratio is often used in case-control studies, where the outcome has already occurred and the researcher wants to determine the odds of exposure in cases compared to controls. Relative risk is more commonly used in cohort studies, where the exposure is measured at the beginning of the study and the outcome is assessed over time. In general, odds ratio is preferred when the outcome is rare, while relative risk is preferred when the outcome is common.

How are odds ratio and relative risk related?

Odds ratio and relative risk are related mathematically. If the risk of an outcome is low, odds ratio will be similar to relative risk. However, as the risk of an outcome increases, the difference between the two measures becomes larger. In general, odds ratio tends to overestimate the relative risk when the outcome is common.

Can odds ratio and relative risk be interpreted the same way?

No, odds ratio and relative risk have different interpretations. Odds ratio is interpreted as the change in odds of an outcome occurring for every unit increase in exposure, while relative risk is interpreted as the change in risk of an outcome occurring for every unit increase in exposure. For example, an odds ratio of 2 means that the odds of an outcome occurring are twice as high in the exposed group compared to the unexposed group, while a relative risk of 2 means that the risk of an outcome occurring is twice as high in the exposed group compared to the unexposed group.

What are the limitations of using odds ratio and relative risk?

Both odds ratio and relative risk have limitations, and it is important to interpret them with caution. Odds ratio can be affected by the choice of reference group and can be biased if the outcome is not rare. Relative risk can only be calculated in cohort studies and may not be applicable to other study designs. Additionally, both measures do not provide information on the direction and magnitude of the association between exposure and outcome, and other factors such as confounding variables should be taken into consideration when interpreting the results.

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