Absolute Risk Reduction Formula:
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Absolute Risk Reduction (ARR) is the difference in event rates between control and experimental groups in clinical trials. It represents the absolute difference in risk and is a key measure of treatment effect.
The calculator uses the ARR formula:
Where:
Explanation: ARR measures the absolute difference in event rates, providing a clear understanding of the treatment's actual benefit.
Details: ARR is crucial for understanding the clinical significance of treatment effects, calculating Number Needed to Treat (NNT), and making informed medical decisions.
Tips: Enter both CER and EER as decimal values between 0 and 1. For example, 10% should be entered as 0.10.
Q1: What is the difference between ARR and RRR?
A: ARR shows absolute difference in risk, while RRR (Relative Risk Reduction) shows proportional reduction relative to control group risk.
Q2: How is ARR related to NNT?
A: Number Needed to Treat (NNT) = 1/ARR. It represents how many patients need treatment to prevent one additional bad outcome.
Q3: What is a clinically significant ARR?
A: Clinical significance depends on the condition and treatment. Generally, larger ARR values indicate greater treatment benefit.
Q4: Can ARR be negative?
A: Yes, negative ARR indicates the experimental treatment has higher event rates than control (harmful effect).
Q5: When should ARR be used instead of RRR?
A: ARR is preferred for clinical decision-making as it provides the actual risk difference, while RRR can be misleading when control event rates are low.