Enter the exposed group, controlled group, and confidence level into the tool, and the calculator will compute the relative risk.
The relative risk calculator assists in predicting the comparative risk of occurrence of exposed and control groups of the population.
The relative risk (RR) measures the probability of an outcome in an exposed group compared to the probability of the outcome in an unexposed group. The association between the exposed and control variables can be calculated using the Relative Risk Calculator.
Calculating relative risk (RR) allows you to predict the comparative risk of a significant event (or outcome) between exposed and control groups. The RR metric is especially important in the following situations:
The result predicted by the RR calculator is provided with a 95% confidence interval, giving a reliable estimate of the actual event occurring.
Suppose a disease test is conducted on an exposed group and a control group. The dataset is as follows:
Confidence level: 95% Z-Score: 1.9600
Disease: 10 No Disease: 5
Disease: 7 No Disease: 3
The relative risk (RR) formula is:
Relative Risk (RR) = \(\frac{a/(a+b)}{c/(c+d)}\)
Where:
a → Number of members of the exposed group who developed the disease
b → Number of members of the exposed group who didn’t develop the disease
c → Number of members of the control group who developed the disease
d → Number of members of the control group who didn’t develop the disease
Step 1: Calculate incidence in each group
Exposed group incidence = \( \frac{10}{10+5} = \frac{10}{15} = 0.6667 \)
Control group incidence = \( \frac{7}{7+3} = \frac{7}{10} = 0.7 \)
Step 2: Calculate Relative Risk
RR = \(\frac{0.6667}{0.7} \approx 0.9524\)
Interpretation: The relative risk of the exposed group compared to the control group is approximately 0.95, indicating slightly lower risk in the exposed group compared to the control group.
ln(RR) = ln(0.9524) = -0.04879
SE = \(\sqrt{\frac{1}{a} + \frac{1}{c} - \frac{1}{a+b} - \frac{1}{c+d}}\)
SE = \(\sqrt{\frac{1}{10} + \frac{1}{7} - \frac{1}{15} - \frac{1}{10}} = 0.2760\)
Lower Bound = exp(ln(RR) - Z × SE)
Lower Bound = exp(-0.04879 - 1.960 × 0.2760) = exp(-0.04879 - 0.54096) = exp(-0.58975)
Lower Bound = 0.554
Upper Bound = exp(ln(RR) + Z × SE)
Upper Bound = exp(-0.04879 + 1.960 × 0.2760) = exp(-0.04879 + 0.54096) = exp(0.49217)
Upper Bound = 1.64
The Relative Risk (RR) calculator computes the risk ratio and its confidence interval using the data from exposed and control groups. To use the calculator, you need the following values:
Input:
Output:
The RR of 0.5 means that the chance of a bad outcome is twice as likely to occur without the intervention. When the RR calculator indicates the risk is 1, then the relative risk calculation is unchanged.
The relative risk is also the ratio of the risk of an event in one group(controlled group) versus the risk of the event in the other group(exposed group). The RRR calculator is specially designed to find the Relative Risk Ratio of certain factors.
From the source of Wikipedia: Relative Risk From the source of Bestpractice.bmj.com: Ratio of RR
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