Search results
Aug 13, 2013 · How to interpret odds ratios, confidence intervals and p values with a stepwise progressive approach and a’concept check’ question as each new element is introduced.
For example, for a probability of 0.05, the odds are terms of odds, not in terms of probabilities. Odds ratios often are 0.05/(1 − 0.05) = 0.052.
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.
- Magdalena Szumilas
- 2010/08
- 2010
The example illustrates that when the base rate for a condition is very low and the test for the condition is less than perfect there will be a relatively high probability that a positive test is a false positive. Don’t neglect the base rates when evaluating posterior probabilities.
The odds ratio is used when one of two possible events or outcomes are measured, and there is a supposed causative factor. The odds ratio is a versatile and robust statistic. For example, it can calculate the odds of an event happening given a particular treatment intervention (1).
People also ask
What is odds ratio?
What is a 'or' in statistics?
What is a clinical odds ratio?
What is the difference between odds and health care?
Odds is a concept that is more familiar to gamblers. The odds is the ratio of the probability that a particular event will occur to the probability that it will not occur, and can be any number between zero and infinity.