The 95% confidence interval (CI) is used to estimate the precision of the OR. A large CI indicates a low level of precision of the OR, whereas a small CI indicates a higher precision of the OR. It is important to note however, that unlike the p value, the 95% CI does not report a measure's statistical significance.
How do you interpret the odds ratio likelihood?
The odds ratio for a risk factor contributing to a clinical out- come can be interpreted as whether someone with the risk factor is more or less likely than someone without that risk factor to expe- rience the outcome of interest.
What is the 95% confidence interval of the MH odds ratio?
How do you interpret risk ratio and confidence interval?
If the RR, OR, or HR = 1, or the confidence interval (CI) = 1, then there is no statistically significant difference between treatment and control groups. If the RR/OR/HR >1, and the CI does not include 1, events are significantly more likely in the treatment than the control group.
How to interpret odds ratio and confidence interval in logistic regression?
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.
What is the effect modification of odds ratio?
With effect modification, we expect the crude odds ratio to be between the estimates of the odds ratio for the stratum-specific estimates. Effect modifier is a variable that differentially (positively and negatively) modifies the observed effect of a risk factor on disease status.