# What is a good confidence interval for odds ratio?

Table of Contents

## What is a good confidence interval for odds ratio?

95%
An alpha of 0.05 means the confidence interval is 95% (1 – alpha) the true odds ratio of the overall population is within range. A 95% confidence is traditionally chosen in the medical literature (but other confidence intervals can be used).

## How do you interpret confidence intervals and 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.

## Is the confidence interval of an odds ratio symmetric?

Unlike the case with normally distributed continuous variable, the Confidence Interval (CIs) of Odds Ratio (OR), the often-used measure of association in medical literature, is said NOT to be symmetrical about the point estimates.

## What is considered a strong odds ratio?

An odds ratio of 4 or more is pretty strong and not likely to be able to be explained away by some unmeasured variables. An odds ratio between 1.0 and 1.5 is at best suggestive of lines for further research.

## Are odds ratios reliable?

Odds ratios are hard to comprehend directly and are usually interpreted as being equivalent to the relative risk. Unfortunately, there is a recognised problem that odds ratios do not approximate well to the relative risk when the initial risk (that is, the prevalence of the outcome of interest) is high.

## When can odds ratios mislead?

The discrepancy between a relative risk reduction and the equivalent relative odds reduction (100×(1−odds ratio)%) can be misleading. When event rates are high (commonly the case in trials and systematic reviews) the relative odds reduction can be many times larger than the equivalent relative risk reduction.

## How do you calculate the 95 confidence interval for a risk ratio?

How to Calculate a Confidence Interval for Relative Risk

1. Lower 95% CI = e. ln(RR) – 1.96√1/a + 1/c – 1/(a+b) – 1/(c+d)
2. Upper 95% CI = e. ln(RR) + 1.96√1/a + 1/c – 1/(a+b) – 1/(c+d)

## What is risk ratio and confidence interval?

The parameter of interest is the relative risk or risk ratio in the population, RR=p1/p2, and the point estimate is the RR obtained from our samples. …

## What does an odds ratio of 0.4 mean?

For example, the odds ratio of 0.4 could mean, in numerical terms it means that for every 10 females without bowel cancer there are 20 who does, while in males, for every 10 individuals who do not have the tumor there are 50 who does”

## Can confidence intervals be greater than 1?

Confidence interval (CI) Most studies report the 95% confidence interval (95%CI). If the confidence interval crosses 1 (e.g. 95%CI 0.9-1.1) this implies there is no difference between arms of the study.

## What does the odds ratio indicate?

The odds ratio is the “measure of association” for a case-control study. It quantifies the relationship between an exposure (such as eating a food or attending an event) and a disease in a case-control study. The odds ratio tells us how much higher the odds of exposure are among case-patients than among controls.

## What do confidence intervals tell us?

What does a confidence interval tell you? he confidence interval tells you more than just the possible range around the estimate. It also tells you about how stable the estimate is. A stable estimate is one that would be close to the same value if the survey were repeated.