Absolute Risk Reduction Formula:
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Absolute Risk Reduction (ARR) is a measure of treatment effect that represents the difference in event rates between control and experimental groups in clinical trials. It provides a clear understanding of the absolute benefit or risk reduction provided by an intervention.
The calculator uses the ARR formula:
Where:
Explanation: ARR represents the absolute difference in risk between the control group and treatment group. A positive ARR indicates the treatment reduces risk, while a negative ARR suggests increased risk.
Details: ARR is crucial for understanding the clinical significance of treatment effects, calculating Number Needed to Treat (NNT), and making informed decisions about therapeutic interventions in evidence-based medicine.
Tips: Enter both CER and EER as decimal values between 0 and 1. For example, if 20% of control group experienced the event, enter 0.20. The calculator will compute the absolute difference in risk.
Q1: What is the difference between ARR and RRR?
A: ARR shows the absolute difference in risk, while Relative Risk Reduction (RRR) shows the proportional reduction. ARR is often more clinically meaningful for decision-making.
Q2: How is ARR related to NNT?
A: Number Needed to Treat (NNT) is calculated as 1/ARR. It represents the number of patients needed to treat to prevent one additional adverse event.
Q3: What is a clinically significant ARR?
A: Clinical significance depends on the context. Generally, larger ARR values indicate more meaningful treatment effects, but this must be balanced against treatment costs and risks.
Q4: Can ARR be negative?
A: Yes, a negative ARR indicates the experimental treatment increases risk compared to control, which would be reported as Absolute Risk Increase (ARI).
Q5: When should ARR be used instead of other measures?
A: ARR is particularly useful when communicating risk to patients and for calculating NNT. It provides a more intuitive understanding of treatment benefits than relative measures alone.