Relative Risk Reduction Formula:
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Relative Risk Reduction (RRR) is a measure of the reduction in the relative risk of an adverse event between the experimental group and control group in a clinical trial or study. It expresses the proportional reduction in risk rates between the two groups.
The calculator uses the RRR formula:
Where:
Explanation: RRR shows the percentage reduction in risk achieved by the intervention compared to the control group.
Details: RRR is widely used in clinical research and evidence-based medicine to quantify treatment effects. It helps healthcare professionals and patients understand the potential benefit of an intervention in relative terms.
Tips: Enter risk values between 0 and 1 for both exposed and unexposed groups. Risk values represent probabilities (e.g., 0.15 = 15% risk). The unexposed group risk must be greater than zero.
Q1: What is the difference between RRR and ARR?
A: RRR shows relative percentage reduction, while ARR (Absolute Risk Reduction) shows the actual difference in risk between groups. RRR = (1 - RR) × 100, ARR = Risk_unexposed - Risk_exposed.
Q2: When is RRR most useful?
A: RRR is particularly useful when baseline risks are low, as it emphasizes the relative benefit of an intervention.
Q3: What are the limitations of RRR?
A: RRR can be misleading when baseline risks are very different, as it doesn't reflect the absolute magnitude of risk reduction.
Q4: How should I interpret negative RRR values?
A: Negative RRR indicates that the intervention actually increased the risk compared to the control group.
Q5: What is a good RRR value?
A: There's no universal "good" value, but generally higher RRR indicates greater treatment benefit. Clinical significance depends on the condition and associated risks.