What does it mean if the confidence interval contains 1?

If the confidence interval includes or crosses (1), then there is insufficient evidence to conclude that the groups are statistically significantly different (there is no difference between arms of the study).

What does an odds ratio of 1 mean?

An odds ratio of less than 1 implies the odds of the event happening in the exposed group are less than in the non-exposed group. An odds ratio of exactly 1 means the odds of the event happening are the exact same in the exposed versus the non-exposed group.

What does it mean if a 95% confidence interval includes 1?

If the 95% confidence interval of the RR or OR includes the value 1, that means it is possible the true value is 1 and there is no difference between groups. If that is the case, we say the null hypothesis cannot be rejected or that there is no statistically significant difference shown.

How do you interpret a confidence interval for an odds ratio?

If an odds ratio (OR) is 1, it means there is no association between the exposure and outcome. So, if the 95% confidence interval for an OR includes 1, it means the results are not statistically significant.

Does the 95% confidence interval contain 0?

Significance Testing and Confidence Intervals. There is a close relationship between confidence intervals and significance tests. Specifically, if a statistic is significantly different from 0 at the 0.05 level, then the 95% confidence interval will not contain 0.

What happens if the confidence interval includes 0?

If your confidence interval for a difference between groups includes zero, that means that if you run your experiment again you have a good chance of finding no difference between groups.

Should confidence intervals include 0?

What does an odds ratio of 1.2 mean?

An OR of 1.2 means there is a 20% increase in the odds of an outcome with a given exposure. An OR of 2 means there is a 100% increase in the odds of an outcome with a given exposure. Or this could be stated that there is a doubling of the odds of the outcome.

What if the confidence interval contains 0?

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