Contents
How do you interpret the odds ratio and P value?
This probability is called the “p-value.” The p-value is calculated using the same numbers that are used to calculate the odds ratio. The larger the p-value, the higher the probability that you might observe such an association as a result of chance alone and that the exposure is probably not related to the disease.
How do you know if two odds ratios are significantly different?
If you have the 95% CIs for all of your odds ratios, you can do a quick check for statistical difference by looking for overlap in the odds ratios. If 95% CI’s for two OR overlap, they aren’t significantly different.
How do you know if relative risk is statistically significant?
As a measure of effect size, an RR value is generally considered clinically significant if it is less than 0.50 or more than 2.00; that is, if the risk is at least halved, or more than doubled.
What is the p value of an odds ratio?
Odds ratios are accompanied with a p value and a 95% confidence interval, both of which tell us the statistical significance. The P value of <0.05 usually signifies a significant association.
Why does CI for odds ratio not contain the value 1?
Since your CI for the odds ratio does not contain the value 1 your CI for odds ratio shows association just like the p-value. Maybe I did not understand your setup, so, please, provide the exact counts. “the P value shows association but the odd ratio does not.” In principle, the P value never shows association.
What does a p value of 0.05 mean?
The P value of <0.05 usually signifies a significant association. Since the odds ratio shows the strength and direction of association, it is important that we report the odds ratio even if it is not statistically significant. You can read a more detailed discussion about the P value here.
What does the odds ratio tell us about a factor?
Lastly, the odds ratio tells us the direction of the association between the factor and the outcome.