Odds Ratio Interpretation; What do the Results mean? An odds ratio of exactly 1 means that exposure to property A does not affect the odds of property B. An odds ratio of more than 1 means that there is a higher odds of property B happening with exposure to property A. An odds ratio ...
0.05), reject the null hypothesis. The interpretation is that difference between your sample’s odds ratio and one is statistically significant. Your data provide sufficient evidence to conclude that a relationship between the variable and the event’s probability exists in thepopulation. ...
Odds Ratio (OR) is an effect measure frequently used to communicate results of health research. Mathematically, OR is the quotient between two odds, being odds an alternative way to express possibility of occurrence of an outcome or presence of an exposition. From a methodological perspective, OR...
Twitter Google Share on Facebook odds ratio Also found in:Dictionary,Thesaurus,Medical,Financial,Acronyms,Wikipedia. [′ädz ‚rā·shō] (statistics) The ratio of the probability of occurrence of an event to the probability of the event not occurring. ...
The odds ratio (OR) is one of several statistics that have become increasingly important in clinical research and decision-making. It is particularly useful because as an effect-size statistic, it gives clear and direct information to clinicians about which treatment approach has the best odds of...
Prevalence odds ratio or prevalence ratio in the analysis of cross sectional data: what is to be done? Objectives—To review the appropriateness of the prevalence odds ratio (POR) and the prevalence ratio (PR) as effect measures in the analysis of cross sect... ML Thompson,JE Myers,D Krieb...
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An odds ratio of 2 indicates that horses exposed to nonsecure hay were approximately two times more likely to develop EPM than horses fed secure hay. Note that the interpretation of the odds ratio is similar to the interpretation of the relative risk (see Box 61-9), even though measures of...
The odds ratio (OR) is one of several statistics that have become increasingly important in clinical research and decision-making. It is particularly useful because as an effect-size statistic, it gives clear and direct information to clinicians about which treatment approach has the best odds of...
Confidence Interval Interpretation If the confidence interval for the odds ratio includes the number 1 then the calculated odds ratio would not be considered statistically significant. This can be seen from the interpretation of the odds ratio. An odds ratio greater than 1 implies there are greater...