Prevalence Ratio Formula:
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Prevalence Ratio (PR) is a measure used in epidemiology to compare the prevalence of a condition between an exposed group and an unexposed group. It indicates how much more (or less) likely the condition is in the exposed group compared to the unexposed group.
The calculator uses the Prevalence Ratio formula:
Where:
Explanation: The ratio compares the prevalence in the exposed group to the prevalence in the unexposed group. A PR > 1 indicates higher prevalence in the exposed group, PR < 1 indicates lower prevalence, and PR = 1 indicates no difference.
Details: Prevalence Ratio is important in epidemiological studies to assess the strength of association between an exposure and an outcome. It helps identify potential risk factors and inform public health interventions.
Tips: Enter prevalence values as decimals between 0 and 1. Both values must be valid (prevalence unexposed must be greater than 0).
Q1: What is the difference between prevalence ratio and risk ratio?
A: Prevalence ratio compares prevalences at a specific point in time, while risk ratio compares cumulative incidence over a period of time.
Q2: How do I interpret a prevalence ratio of 2.5?
A: A PR of 2.5 means the condition is 2.5 times more prevalent in the exposed group compared to the unexposed group.
Q3: Can prevalence ratio be less than 1?
A: Yes, a PR less than 1 indicates the condition is less prevalent in the exposed group compared to the unexposed group.
Q4: What are the limitations of prevalence ratio?
A: PR does not establish causality and can be affected by factors such as study design, confounding variables, and measurement errors.
Q5: When should I use prevalence ratio versus odds ratio?
A: Use prevalence ratio for cross-sectional studies where prevalence is measured. Use odds ratio for case-control studies where incidence cannot be directly measured.