How do you interpret odds ratio in words

How do you interpret odds ratio in words?

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847.5K views 2024-01-12 21:21:34 06:23

Answer:

The magnitude of the odds ratio is called the “strength of the association.” The further away an odds ratio is from 1.0, the more likely it is that the relationship between the exposure and the disease is causal. For example, an odds ratio of 1.2 is above 1.0, but is not a strong association.

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What does an odds ratio of 0.5 mean?

Answer: A RR of 0.5 means the risk is cut in half. But an OR of 3 doesn't mean the risk is threefold; rather the odds is threefold greater. Interpretation of an OR must be in terms of odds, not probability.


2024-02-04 09:29:20

Why can you only use odds ratio in case control?

Answer: Incidence is Unknown in a Case-Control Study
In contrast, in a case-control study one can only calculate the odds ratio, i.e. an estimate of relative effect size, because one cannot calculate incidence. Consider once again the table that we used above to illustrate calculation of the odds ratio.


2024-01-07 09:02:18

How do you explain odds ratio 1?

Answer: The odds ratio tells us how much higher the odds of exposure are among case-patients than among controls. An odds ratio of • 1.0 (or close to 1.0) indicates that the odds of exposure among case-patients are the same as, or similar to, the odds of exposure among controls. The exposure is not associated with the disease.


2023-12-14 11:50:13

How do you interpret odd ratio in logistic regression?

Answer: The interpretation of the odds ratio depends on whether the predictor is categorical or continuous. Odds ratios that are greater than 1 indicate that the event is more likely to occur as the predictor increases. Odds ratios that are less than 1 indicate that the event is less likely to occur as the predictor increases.


2023-05-17 07:29:28

How do you interpret odds ratio more than 1?

Answer: Greater than 1.0 indicates that the odds of exposure among case-patients are greater than the odds of exposure among controls. The exposure might be a risk factor for the disease. Less than 1.0 indicates that the odds of exposure among case-patients are lower than the odds of exposure among controls.


2023-03-21 16:01:34
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