Because the incidence rate in the non-delirium group is high, the odds ratio exaggerates the true risk demonstrated in the study. Mortality in patients without ICU DeliriumĪfter converting the odds ratio to a risk ratio, the actual risk is 1.4 (mortality is 1.4 times more likely in patients with ICU delirium compared to those without ICU delirium). Using the following simulated data set, it would appear that having ICU delirium results in a 2-fold increase in the risk of mortality: Mortality in patients with ICU Delirium 1 However, the odds ratio becomes exponentially more different from the risk ratio as the incidence increases, which exaggerates either a risk or treatment effect. When the incidence of an outcome is low (<10%), the odds ratio is very similar to the risk ratio. This format is commonly expressed in cohort studies using logistic regression. Certain types of trial designs, however, report risk as an odds ratio. Here, to convert odds ratio to probability in sports handicapping, we would have the following equation: (1 / the decimal odds) 100 or (1 / 2. ![]() In medical literature, the relative risk of an outcome is often described as a risk ratio (the probability of an event occurring in an exposed group divided by the probability in a non-exposed group). Say for example the odds are represented as 2.5, this would imply that for every 1 you wager, you will gain a profit of 1.5 if the outcome was in your favor.
0 Comments
Leave a Reply. |