The odds ratio mostly works on nominal variables that have exactly two levels. The statistical test called Fisher's Exact for 2x2 tables tests whether the odds ratio is equal to 1 or not. It can also test whether the odds ratio is greater or less than 1.
What is the test for comparing odds ratios?
To test if two odds ratios are significantly different and get a p-value for the difference follow these steps: (1) Take the absolute value of the difference between the two log odds ratios. We will call this value δ. (4) Calculate the p-value from the z score.
How do you assess odds ratios?
In a 2-by-2 table with cells a, b, c, and d (see figure), the odds ratio is odds of the event in the exposure group (a/b) divided by the odds of the event in the control or non-exposure group (c/d). Thus the odds ratio is (a/b) / (c/d) which simplifies to ad/bc.
Should I use chi-square or odds ratio?
As Lluis's mentioned in his answer, you would use a chi-square to TEST if an association exists. On the other hand, you would use an odds ratio, relative risk, hazard rate, etc. to MEASURE or quantify the association between a risk factor/covariate and an outcome.
What statistical method was used to calculate the adjusted odds ratios?
Logistic regression analysis, which estimates odds ratios, is often used to adjust for covariables in cohort studies and randomized controlled trials (RCTs) that study a dichotomous outcome.
What is the significant test for odds ratio?
Several significance tests can be used for the Odds Ratio. The most common are the Fisher's Exact Probability test, the Pearson Chi-Square and the Likelihood Ratio Chi-Square.