1. What is Relative Risk Reduction?

Relative Risk Reduction (RRR) measures the proportion of risk reduction in the treatment group compared to the control group. It is calculated by dividing the Absolute Risk Reduction (ARR) by the control risk.

2. How Does the Calculator Work?

The calculator uses the RRR formula:

Where:

• \( RRR \) — Relative Risk Reduction (unitless)
• \( ARR \) — Absolute Risk Reduction (unitless)
• \( Control\ Risk \) — Risk in control group (unitless)

Explanation: RRR shows the proportional reduction in risk between the treatment and control groups.

3. Importance of RRR Calculation

Details: RRR is important for understanding the effectiveness of interventions in clinical trials and epidemiological studies. It helps compare treatment effects across different studies.

4. Using the Calculator

Tips: Enter Absolute Risk Reduction and Control Risk as decimal values between 0 and 1. Both values must be valid (Control Risk > 0).

5. Frequently Asked Questions (FAQ)

Q1: What's the difference between RRR and ARR?
A: ARR shows the absolute difference in risk between groups, while RRR shows the proportional reduction relative to the control group.

Q2: What are typical RRR values?
A: RRR can range from 0 (no effect) to 1 (complete risk elimination). Values between 0.2-0.5 are often considered clinically significant.

Q3: When is RRR most useful?
A: RRR is most useful when comparing treatments across studies with different baseline risks.

Q4: What are limitations of RRR?
A: RRR can exaggerate treatment effects when baseline risk is low. ARR often provides better clinical context.

Q5: How should RRR be interpreted?
A: RRR should always be considered alongside ARR and baseline risk to fully understand treatment impact.