Relative Risk Reduction Formula:
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Relative Risk Reduction (RRR) is a measure that shows how much the risk of an outcome is reduced in the treatment group compared to the control group. It's expressed as a percentage of the risk in the control group.
The calculator uses the RRR formula:
Where:
Explanation: RRR compares the difference in event rates between groups relative to the control group's event rate.
Details: RRR is important in clinical research to understand the effectiveness of treatments. It helps quantify how much a treatment reduces the risk of an adverse outcome compared to control.
Tips: Enter both CER and TER as proportions between 0 and 1 (e.g., for 25%, enter 0.25). The calculator will output RRR as a percentage.
Q1: What's the difference between RRR and ARR?
A: RRR shows the proportional reduction in risk, while Absolute Risk Reduction (ARR) shows the simple difference in risk between groups.
Q2: When is RRR most useful?
A: RRR is particularly useful when baseline risks are low, as it can make treatment effects appear larger than they are in absolute terms.
Q3: What are limitations of RRR?
A: RRR doesn't account for baseline risk, so a large RRR might correspond to a small actual benefit if the baseline risk is very low.
Q4: How should RRR be interpreted?
A: RRR should always be considered alongside absolute risk measures to get a complete picture of treatment benefit.
Q5: Can RRR be negative?
A: Yes, a negative RRR indicates the treatment increased risk compared to control.