Absolute Risk Reduction Formula:
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Absolute Risk Reduction (ARR) is the difference in event rates between the control group and the experimental group in a clinical trial. It represents the absolute difference in risk between two treatment options.
The calculator uses the ARR formula:
Where:
Explanation: ARR measures the actual risk reduction achieved by an intervention compared to control. A positive ARR indicates the intervention reduces risk, while a negative ARR suggests increased risk.
Details: ARR is crucial for understanding the clinical significance of treatment effects. It helps healthcare providers and patients make informed decisions about interventions by quantifying the absolute benefit or harm.
Tips: Enter both CER and EER as proportions (values between 0 and 1). For example, enter 0.15 for 15% event rate. Ensure CER and EER are from comparable populations and time frames.
Q1: What's the difference between ARR and RRR?
A: ARR shows absolute difference in risk, while Relative Risk Reduction (RRR) shows the proportional reduction. RRR = (CER - EER)/CER.
Q2: When is ARR more useful than RRR?
A: ARR is more meaningful for clinical decision-making as it shows the actual magnitude of benefit, especially when baseline risks are low.
Q3: How do I interpret negative ARR values?
A: Negative ARR indicates the experimental treatment increases risk compared to control, representing absolute risk increase.
Q4: What is Number Needed to Treat (NNT)?
A: NNT = 1/ARR (when ARR > 0). It represents the number of patients needed to treat to prevent one additional adverse event.
Q5: Are there limitations to ARR?
A: ARR depends on baseline risk and may not be generalizable to populations with different baseline risks. It should be interpreted in clinical context.