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What does an odds ratio of 0.1 mean?

From probability to odds
So a probability of 0.1, or 10% risk, means that there is a 1 in 10 chance of the event occurring.
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What does an odds ratio of 0.01 mean?

If the cutoff for statistical significance is 0.05, is the association between lettuce and. illness statistically significant? A p-value of 0.01 means that there is less than one chance in 100 that an odds ratio of at least 11.2 would result by chance alone, if lettuce is not actually associated with illness.
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What does an odds ratio of 0.2 mean?

An OR of 0.2 means there is an 80% decrease in the odds of an outcome with a given exposure.
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What happens if odds ratio is less than 1?

An odds ratio greater than 1 indicates that the condition or event is more likely to occur in the first group. And an odds ratio less than 1 indicates that the condition or event is less likely to occur in the first group. The odds ratio must be nonnegative if it is defined.
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What does an odds ratio of less than 1.0 mean?

“An OR of less than 1 means that the first group was less likely to experience the event. However, an OR value below 1.00 is not directly interpretable. The degree to which the first group is less likely to experience the event is not the OR result.
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NCCMT - URE - Odds Ratios

What does an odds ratio of 0.7 mean?

If the Odds ratio is 0.7 then it indicates a protective effect - I.e a reduced odds of exposure in case vs control group. That reduced risk is 1-odds so will be 30 percent reduced risk fo exposure.
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What does an odds ratio of 0.80 mean?

(Example: If the probability of an event is 0.80 (80%), then the probability that the event will not occur is 1-0.80 = 0.20, or 20%. The odds of an event represent the ratio of the (probability that the event will occur) / (probability that the event will not occur).
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What does an odds ratio of 0 indicate?

If you have an infinite odds in the denominator, then your odds ratio is zero. Finally, if you have a zero odds in the denominator, then your odds ratio is infinite.
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What is odds ratio for dummies?

What is an odds ratio? An odds ratio (OR) is a measure of association between an exposure and an outcome. The OR represents the odds that an outcome will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposure.
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Is a low odds ratio good?

Yes. A low odds ratios indicates that the factor under examination is associated with a decrease, rather than an increase of risk relating to your outcome measure. Any significant departure from an odds ratio of 1 is of interest in understanding a factor's impact on outcomes.
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What does 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”
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What does an odds of 0.5 mean the probability of winning is?

A probability of 0.5 is the same as odds of 1.0. Think of it this way: The probability of flipping a coin to heads is 50%. The odds are “fifty: fifty,” which equals 1.0. As the probability goes up from 0.5 to 1.0, the odds increase from 1.0 to approach infinity.
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What happens if the odds ratio is negative?

Positive odds ratios indicate that the event is more likely to occur, whilst negative odd ratios indicate the event is less likely to occur.
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How do you interpret odds ratio and relative risk?

RELATIVE RISK AND ODDS RATIO

An RR (or OR) more than 1.0 indicates an increase in risk (or odds) among the exposed compared to the unexposed, whereas a RR (or OR) <1.0 indicates a decrease in risk (or odds) in the exposed group.
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How do you interpret odds?

The number that follows the negative symbol (the odds) reveals how much to bet for every $100 you want to win. For example, as explained above, if the team you're betting has -110 odds, you need to wager $110 to win $100. If your team has -150 odds, you must risk $150 to win $100.
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What do odds of 1/10 mean?

This can also be calculated as 1 / (9 + 1) = 0.10 - There is a 10% chance that the event will happen.
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What does an odds ratio of .75 mean?

Thus, an odds ratio of . 75 translates into a failure rate of 15.8% in the treatment group relative to an assumed failure rate of 20% in the control group. This translation of odds ratios into an easily understand metric is commonly used in meta-analyses of odds ratios.
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What is an example of an odds ratio?

Worked Example

The odds ratio of lung cancer for smokers compared with non-smokers can be calculated as (647*27)/(2*622) = 14.04, i.e., the odds of lung cancer in smokers is estimated to be 14 times the odds of lung cancer in non-smokers.
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What is odds vs likelihood?

Odds is the chance of an event occurring against the event not occurring. Likelihood is the probability of a set of parameters being supported by the data in hand. In logistic regression, we use log odds to convert a probability-based model to a likelihood-based model.
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What does a ratio of 0 mean?

On a ratio scale, a zero means there's a total absence of the variable of interest.
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What is an example of an odds ratio less than 1?

The odds ratio for the predictor variable smoking is less than 1. This means that increasing from 0 to 1 for smoking (i.e. going from a non-smoker to a smoker) is associated with a decrease in the odds of a mother having a healthy baby.
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Does odds ratio indicate risk?

The odds ratio (OR) is the odds of an event in an experimental group relative to that in a control group. An RR or OR of 1.00 indicates that the risk is comparable in the two groups. A value greater than 1.00 indicates increased risk; a value lower than 1.00 indicates decreased risk.
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What does an odds ratio of 0.85 mean?

A relative risk of 0.85 corresponds to a relative risk reduction of 0.15% or 15%. The right interpretation of the odds ratio of 0.70 in the study by Lin et al is that for every point increase in the score of pain severity, the odds of having the response decrease by 0.70.
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How do you know if an odds ratio is statistically significant?

If the p-value for your odds ratio is less than your significance level (e.g., 0.05), reject the null hypothesis. The interpretation is that difference between your sample's odds ratio and one is statistically significant.
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