Little Odd-ratio/ relative risk confusion

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Discussion Overview

The discussion revolves around the interpretation and calculation of relative risk and odds ratios in the context of a cross tabulation table comparing undernourished status versus gender of children. Participants explore the implications of designating boys as the reference group for these calculations.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant suggests that the relative risk should be calculated as (40/(40+74)) / (38/(37+86)), questioning if this is correct given boys as the reference group.
  • Another participant agrees with the calculation method for relative risk and odds ratio but emphasizes the need for a hypothesis regarding which group is expected to have a lower risk before analysis.
  • A later reply corrects the initial participant's calculation by pointing out an error in using 38 instead of 37 for boys' rates, suggesting that this would lead to different results.
  • One participant expresses a preference for the term "rate ratio" or "odds ratio" over "relative risk," arguing that the latter is vague and less meaningful.
  • Another participant asserts that "with the reference group being boys" implies focusing solely on boys, challenging the initial interpretation of the odds ratio as a comparison between girls and boys.
  • There is a discussion about the nature of the odds ratio, with one participant arguing that it cannot be calculated solely from boys' data, while another insists that it serves as a benchmark for comparison.

Areas of Agreement / Disagreement

Participants express differing interpretations of what "with the reference group being boys" entails, leading to disagreement on how to approach the calculations for relative risk and odds ratios. No consensus is reached on the correct interpretation or methodology.

Contextual Notes

Participants highlight potential errors in calculations and the importance of defining comparison groups clearly. There are unresolved questions regarding the terminology and its implications for analysis.

BobbyBear
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Hi, just a small doubt I'm having:
I'm given a cross tabulation table, such as undernourished status versus gender of the child:

-----------------------------undernourished

-----------------------------yes--------no

--------------------boy------37-------- 86
---------gender
--------------------girl-------40--------74suppose we are told to compute the relative risk of being undernourished with the reference group being boys,

I think we should compute: (40/(40+74)) / (38/(37+86))

and not the other way around, right?

Likewise, the odds ratio of being undernourished with the reference group being boys would be: (40/74) / (38/86) and not the other way around, I suppose?

I just want to make sure what "with the reference group being boys" means... I'm assuming it means it means odds of undernourished girls to odds of undernourished boys, but I'm not 100% sure if it means this or if it might mean we are interested in boys so it should be odds of boys to odds of girls?

thanks!
 
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BobbyBear said:
Hi, just a small doubt I'm having:
I'm given a cross tabulation table, such as undernourished status versus gender of the child:

Suppose we are told to compute the relative risk of being undernourished with the reference group being boys,

I think we should compute: (40/(40+74)) / (38/(37+86))

and not the other way around, right?

Likewise, the odds ratio of being undernourished with the reference group being boys would be: (40/74) / (38/86) and not the other way around, I suppose?

I just want to make sure what "with the reference group being boys" means... I'm assuming it means it means odds of undernourished girls to odds of undernourished boys, but I'm not 100% sure if it means this or if it might mean we are interested in boys so it should be odds of boys to odds of girls?

thanks!

You could use either one as a comparison group, but it's often preferred to have a hypothesis about which group would be at lower risk as the comparison group before the data is collected an analyzed. In this case the girl's rate is 0.35 while the boy's rate is 0.30 resulting in a rate ratio of 1.17.

To test if this represents a statistically significant difference you could do a test comparison of two rates based on the normal distribution (Z score) if the normal assumption holds. The odds ratio is preferred by some. The ln(\psi) (log odds) can be used in logistic regression. It is considered an estimate of the rate ratio and in this case it's 1.26. The rate ratio is of course exact but has less desirable mathematical properties.

Some points. You used 38 instead of 37 in your calculations of the boys rate so your answers would be slightly different than mine. In your table you usually will put your comparison group in the lower row. Then you can use the cross product ad/bc to calculate the odds ratio.

I don't like the term "relative risk". It's not a very meaningful description. I prefer rate ratio or odds ratio. It's not clear just what one is referring to with the term 'relative risk' although it is often used.
 
Last edited:
"with the reference group being boys" means that you are looking only at the boys, not the girls. And that means that you are wrong. There are 37 undernourished boys out of a total of 37+ 86= 123 boys. The probability of a boy being undernourished is 37/123.
 


thank you both for your comments!

"with the reference group being boys" means that you are looking only at the boys, not the girls. And that means that you are wrong. There are 37 undernourished boys out of a total of 37+ 86= 123 boys. The probability of a boy being undernourished is 37/123.

... but if I am asked for an odds ratio, then I am not being asked for a ratio between girl undernourishment odds and boy undernourishment odds? Looking at boys alone, I can only have the odds of undernourishment in boys, not a ratio of odds... I think "with the reference group being boys" is simply stating that boys is the "comparison group", as SW VandeCarr put it, which means it is sort of the benchmark for any other group.
Does that make sense?
 

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