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Relative Risk Calculator

Calculate Relative Risk (RR) and 95% confidence interval from a 2x2 contingency table for cohort studies.

Relative Risk Calculator
Enter data into the 2x2 contingency table to calculate the Relative Risk (RR) and its 95% confidence interval.
Outcome (e.g., Diseased)No Outcome (e.g., Healthy)
Exposed Group
Unexposed Group

Measuring Risk: The Relative Risk Calculator

The Relative Risk (RR) Calculator is a statistical tool used primarily in epidemiology and evidence-based medicine to determine the ratio of the probability of an outcome in an exposed group to the probability of the outcome in an unexposed group. It helps to quantify the strength of an association between an exposure (like a medication or a risk factor) and an outcome (like a disease or a cure).


📊 How to Use the Calculator

The calculator requires data from a cohort study, typically organized in a 2x2 contingency table:

  1. Enter Exposed Group Data:
    • Outcome (a): The number of individuals in the exposed group who experienced the outcome.
    • No Outcome (b): The number of individuals in the exposed group who did not experience the outcome.
  2. Enter Unexposed Group Data:
    • Outcome (c): The number of individuals in the unexposed (control) group who experienced the outcome.
    • No Outcome (d): The number of individuals in the unexposed (control) group who did not experience the outcome.
  3. Calculate: Click the "Calculate Relative Risk" button.

The calculator provides the Relative Risk (RR) value, its 95% Confidence Interval, a plain-language interpretation of the result, and a breakdown of the calculation steps.


The Relative Risk Formula

Relative Risk is the ratio of two probabilities (or risks):

RR = [a / (a + b)] / [c / (c + d)]

Where:

  • a / (a + b) = Risk of the outcome in the exposed group.
  • c / (c + d) = Risk of the outcome in the unexposed group.

Interpreting the Result:

  • RR > 1: The exposure increases the risk of the outcome.
  • RR < 1: The exposure decreases the risk of the outcome (it is protective).
  • RR = 1: The exposure has no effect on the risk of the outcome.

The 95% Confidence Interval (CI) provides a range of plausible values for the true relative risk in the population. If the CI does not include 1.0, the result is considered statistically significant.


💡 Frequently Asked Questions (FAQ)

What's the difference between Relative Risk and Odds Ratio?
Relative Risk is used in cohort studies and clinical trials where you start with exposed/unexposed groups and watch for outcomes. Odds Ratio (OR) is used in case-control studies where you start with diseased/non-diseased groups and look back at exposures. RR is generally more intuitive, but OR is often used as an estimate of RR, especially when the outcome is rare.
What does a Relative Risk of 2.5 mean?
It means the exposed group is 2.5 times as likely to experience the outcome as the unexposed group. You can also say they have a 150% increased risk ( (2.5 - 1) * 100% ).

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