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 measures the absolute difference in risk and is particularly useful for understanding the clinical significance of an intervention.
The calculator uses the ARR formula:
Where:
Explanation: ARR represents the absolute difference in risk between the control and treatment groups, providing a clear measure of the intervention's effectiveness.
Details: ARR is crucial for understanding the clinical relevance of study results. It helps clinicians and patients make informed decisions about treatment benefits and is essential for calculating Number Needed to Treat (NNT).
Tips: Enter both CER and EER as proportions (values between 0 and 1). For example, if 20% of patients experienced an 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 generally more clinically meaningful.
Q2: How is ARR related to NNT?
A: Number Needed to Treat (NNT) is the reciprocal of ARR (NNT = 1/ARR). It indicates how many patients need to be treated to prevent one additional bad outcome.
Q3: What is a clinically significant ARR?
A: Clinical significance depends on the context. Generally, larger ARR values indicate more effective interventions, but the threshold varies by condition and risk.
Q4: Can ARR be negative?
A: Yes, if the experimental treatment increases risk compared to control, ARR will be negative, indicating potential harm from the intervention.
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 baseline risks are low.