Absolute Risk Ratio Formula:
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Absolute Risk Ratio (ARR) is a measure used in epidemiology to compare the risk of an event between two groups - typically an exposed group and an unexposed group. It represents the ratio of event rates between these two populations.
The calculator uses the Absolute Risk Ratio formula:
Where:
Explanation: The ARR quantifies how many times more likely an event occurs in the exposed group compared to the unexposed group.
Details: Absolute Risk Ratio is crucial in clinical research, public health studies, and risk assessment to understand the magnitude of risk associated with exposure to a particular factor or treatment.
Tips: Enter event rates as percentages for both exposed and unexposed groups. Event Rate Unexposed must be greater than zero. The result is a unitless ratio.
Q1: What does an ARR of 1 mean?
A: An ARR of 1 indicates no difference in risk between exposed and unexposed groups.
Q2: How is ARR different from Relative Risk?
A: ARR is the ratio of absolute risks, while Relative Risk is the ratio of probabilities. ARR focuses on the actual risk difference magnitude.
Q3: When is ARR particularly useful?
A: ARR is valuable when assessing the practical significance of risk differences in clinical decision-making and public health interventions.
Q4: What are the limitations of ARR?
A: ARR doesn't account for baseline risk and may be influenced by the prevalence of the exposure in the population.
Q5: How should ARR values be interpreted?
A: ARR > 1 indicates increased risk in exposed group, ARR < 1 indicates decreased risk, and ARR = 1 indicates no risk difference.