Relative Risk Formula:
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Relative Risk (RR) is a measure of the strength of association between an exposure and an outcome. It compares the probability of an event occurring in the exposed group versus the unexposed group.
The calculator uses the Relative Risk formula:
Where:
Explanation: RR = 1 means no difference in risk between groups. RR > 1 means increased risk in exposed group. RR < 1 means decreased risk in exposed group.
Details: Relative Risk is commonly used in cohort studies and randomized controlled trials to assess the effect of an exposure or treatment.
Tips: Enter incidence rates for both exposed and unexposed groups. Both values must be greater than 0.
Q1: What's the difference between RR and OR?
A: Relative Risk compares probabilities directly, while Odds Ratio compares odds. RR is more intuitive but can't be used in case-control studies.
Q2: What is a significant RR value?
A: Typically RR > 2 or < 0.5 is considered strong, but statistical significance depends on confidence intervals.
Q3: When should I use RR?
A: Use RR when you can measure incidence directly, as in cohort studies or RCTs.
Q4: What are limitations of RR?
A: RR doesn't convey absolute risk differences and can be misleading when baseline risks are very low.
Q5: How do I calculate confidence intervals for RR?
A: CI calculation requires knowing the sample sizes in each group and typically uses a logarithmic transformation.