Question 1

What is an odds ratio and how does it differ from relative risk?

Accepted Answer

The odds ratio compares the odds of an event occurring in an exposed group to the odds in an unexposed group, while relative risk directly compares probabilities. For rare events, odds ratio and relative risk values are similar, but for frequent events, the odds ratio can exaggerate perceived risk compared to relative risk. This distinction is crucial for selecting the appropriate measure based on study design and outcome frequency.

Question 2

How do you interpret an odds ratio value?

Accepted Answer

An odds ratio greater than 1 indicates the event is more likely in the exposed group, suggesting a possible risk factor. An odds ratio less than 1 implies the event is less likely in the exposed group, potentially indicating a protective factor. An odds ratio of exactly 1 means no difference in odds between groups, suggesting no association between exposure and outcome.

Question 3

Why is the odds ratio preferred for case-control studies?

Accepted Answer

The odds ratio is favored in case-control studies because it can estimate relative risk when actual incidence cannot be directly measured due to study design. This measure allows researchers to infer relationships between risk factors and outcomes, especially when dealing with rare diseases or conditions where prospective studies might not be feasible.

Question 4

What does an odds ratio of 4.75 mean in the context of smoking and lung cancer?

Accepted Answer

An odds ratio of 4.75 for smoking and lung cancer means the odds of developing lung cancer in smokers are 4.75 times the odds for non-smokers. This indicates a strong association between smoking exposure and lung cancer development, though the odds ratio measures association strength only, not causality.

Question 5

When should you calculate odds ratio instead of relative risk?

Accepted Answer

Calculate odds ratio when data are based on small samples or involve rare diseases, as relative risk may overestimate the outcome in these situations. The odds ratio is also the appropriate choice for case-control studies where the actual incidence of outcomes cannot be directly measured, making it more reliable for these study designs.

Question 6

How is an odds ratio calculated using a contingency table?

Accepted Answer

An odds ratio is calculated by organizing the occurrence and non-occurrence of events in both exposed and unexposed groups in a contingency table. The formula divides the odds of the event in the exposed group by the odds of the event in the unexposed group, where odds equal the probability of the event happening divided by the probability of it not happening.

Question 7

Does an odds ratio establish causality between exposure and disease?

Accepted Answer

No, the odds ratio does not determine causality; it only measures the strength of association between exposure and outcome. While a high odds ratio indicates a strong relationship, establishing causality requires additional evidence and evaluation using frameworks like criteria for causality to rule out confounding and other alternative explanations.

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