The odds ratio is a measure of effect size, describing the strength of association or non-independence between two binary data values. It is used as a descriptive statistic, and plays an important role in logistic regression. Unlike other measures of association for paired binary data such as the relative risk, the odds ratio treats the two variables being compared symmetrically, and can be estimated using some types of non-random samples.
Read more about Odds Ratio: Example, Statistical Inference, Role in Logistic Regression, Insensitivity To The Type of Sampling, Use in Quantitative Research, Relation To Relative Risk, Invertibility and Invariance, Alternative Estimators of The Odds Ratio, Numerical Examples, Worked Example
Famous quotes containing the words odds and/or ratio:
“Macbeth. What is the night?
Lady Macbeth. Almost at odds with morning, which is which.”
—William Shakespeare (1564–1616)
“Official dignity tends to increase in inverse ratio to the importance of the country in which the office is held.”
—Aldous Huxley (1894–1963)