Relative Risk Reduction Formula:
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Definition: RRR measures the proportion of risk reduction in the experimental group compared to the control group.
Purpose: It helps medical researchers and clinicians understand the effectiveness of a treatment or intervention.
The calculator uses the formula:
Where:
Explanation: The difference between CER and EER is divided by CER to show the proportional reduction in risk.
Details: RRR helps compare treatment effectiveness across studies with different baseline risks and is commonly used in clinical trials.
Tips: Enter CER and EER as proportions (e.g., 0.25 for 25%). CER must be greater than or equal to EER, and both must be between 0 and 1.
Q1: What's the difference between RRR and ARR?
A: RRR shows proportional reduction, while Absolute Risk Reduction (ARR) shows the actual difference between CER and EER.
Q2: When is RRR most useful?
A: RRR is most useful when baseline risks vary between studies, allowing comparison of treatment effects.
Q3: What are typical CER and EER values?
A: These vary by study but are typically between 0.01 and 0.5 in medical research (1% to 50% event rates).
Q4: Can RRR be negative?
A: Yes, if EER > CER, it indicates the treatment may be harmful rather than beneficial.
Q5: How should I interpret a 50% RRR?
A: It means the treatment reduced the risk by 50% compared to the control group's risk.