Odds Ratio Formula:
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The odds ratio (OR) is a measure of association between an exposure and an outcome. It 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.
The calculator uses the following formulas:
Where:
Explanation: The odds ratio compares the odds of the outcome in two different groups, while the p-value assesses the statistical significance of this association.
Details:
Tips: Enter counts for all four cells (a, b, c, d) in the 2×2 contingency table. All values must be non-negative integers.
Q1: What's the difference between odds ratio and relative risk?
A: Odds ratio compares odds, while relative risk compares probabilities. They're similar for rare outcomes but differ for common ones.
Q2: How do I interpret the standard error?
A: The SE is for the natural log of OR. 95% CI = exp(ln(OR) ± 1.96×SE).
Q3: When should I use Fisher's exact test instead?
A: When sample sizes are small (any cell <5) or the data are very unbalanced.
Q4: Can I calculate OR for continuous variables?
A: No, OR is for categorical data. For continuous variables, consider logistic regression.
Q5: What if I have zero in one cell?
A: Add 0.5 to all cells (Haldane-Anscombe correction) to allow calculation.