Confidence limits of expected odds

Thread starter Andrusko
Start date Sep 28, 2008
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In summary, confidence limits of expected odds are a statistical measure used to determine the uncertainty around an estimated odds ratio. They are important in assessing the precision of an estimate and understanding the level of uncertainty in the findings. These limits are calculated using a formula that takes into account the sample size, confidence level, and estimated odds ratio, and provide a range of values within which the true odds ratio is expected to fall with a certain level of confidence. They should be interpreted as a range of values, with a wider range indicating more uncertainty and a range including the value of 1 indicating a lack of statistical significance.

Sep 28, 2008

Andrusko

I have two proportions and confidence intervals for each of them. Now the question wants me to convert these to odds.

What does this mean? I sort of understand converting a proportion to odds p/(1-p) but how does one convert an interval into odds?

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Sep 28, 2008

HallsofIvy

Science Advisor

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It just a different notation. Convert the endpoints of the intervals to odds.

Sep 29, 2008

Andrusko

Okay, thanks!

What are confidence limits of expected odds?

Confidence limits of expected odds are a statistical measure used to quantify the uncertainty around an estimated odds ratio. It provides a range of values within which the true odds ratio is likely to fall with a specified level of confidence.

Why are confidence limits of expected odds important?

Confidence limits of expected odds are important because they allow us to determine the precision of our estimate and assess the statistical significance of our results. They also help us to understand the level of uncertainty associated with our findings.

How are confidence limits of expected odds calculated?

The calculation of confidence limits of expected odds involves using a statistical formula that takes into account the sample size, confidence level, and estimated odds ratio. The resulting range provides the upper and lower bounds within which the true odds ratio is expected to fall with a certain level of confidence.

What is the difference between confidence limits of expected odds and confidence intervals?

Confidence limits of expected odds and confidence intervals are both measures of uncertainty, but they are used for different types of data. Confidence intervals are typically used for continuous data, while confidence limits of expected odds are used for categorical data with two groups.

How can confidence limits of expected odds be interpreted?

Confidence limits of expected odds can be interpreted as a range of values within which the true odds ratio is expected to fall with a certain level of confidence. The wider the range, the more uncertainty there is around the estimated odds ratio. If the range includes the value of 1, it indicates that the odds ratio is not statistically significant.