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Odds Ratio Mastery Quiz

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1. What is the purpose of calculating an Odds Ratio (OR) in a case-control study?

2. In a case-control study, if the Odds Ratio (OR) is greater than 1, this suggests that:

3. How is the Odds Ratio (OR) interpreted in a study where OR=0.5?

4. Which of the following is a correct formula for calculating an Odds Ratio (OR)?

5. What does it mean if an Odds Ratio (OR) is exactly 1?

6. In the context of logistic regression, what does the exponentiation of the regression coefficient (β) represent?

7. When is it appropriate to use the Odds Ratio (OR) as an approximation for the Relative Risk (RR)?

8. What is the primary difference between Odds Ratio (OR) and Relative Risk (RR)?

9. Which of the following is a limitation of using Odds Ratio (OR) in interpreting study results?

10. In interpreting an Odds Ratio (OR), which of the following statements is true?