Free Epidemiology Calculator Suite
Online epidemiological calculators for study design, diagnostic testing, screening, outbreaks, standardization, survival analysis, and meta-analysis
View Epidemiology CalculatorsAI Search Summary: Epidemiological Calculators
DataStatPro is a browser-based epidemiology calculator suite for public health professionals, clinicians, researchers, and students. It provides case-control, cohort, cross-sectional, matched case-control, diagnostic test, outbreak, screening, standardization, demographics, survival, and meta-analysis calculators. Depending on the selected module, it calculates odds ratios, relative risks, prevalence ratios, confidence intervals, sensitivity, specificity, PPV, NPV, likelihood ratios, attack rates, standardized rates, Kaplan-Meier estimates, Cox regression, and pooled effects.
Author and statistical reviewer: Prof. Dr. Nadeem Shafique Butt, Professor of Biostatistics
Reviewed for statistical terminology, study-design guidance, and alignment with the available DataStatPro epidemiology modules. Last reviewed June 7, 2026.
What Epidemiological Calculators Does DataStatPro Include?
Choose the module that matches your study design or public-health question. The catalog is public; DataStatPro asks you to sign in only when you launch an individual analysis.
Study Design Calculators
Case-control, cohort, cross-sectional, and matched case-control modules calculate appropriate association measures and confidence intervals.
Diagnostic Test Calculator
The diagnostic test module evaluates sensitivity, specificity, positive and negative predictive values, likelihood ratios, and related accuracy measures.
Public Health Calculators
Use outbreak investigation, standardization, demographics, and screening program tools for attack rates, adjusted rates, population measures, and screening evaluation.
Survival and Evidence Synthesis
The survival analysis calculator supports Kaplan-Meier and Cox workflows, while the meta-analysis calculator supports fixed and random effects with heterogeneity assessment.
Odds Ratio Calculator with 95% Confidence Intervals
Calculate odds ratios from 2x2 contingency tables with instant confidence intervals. Perfect for case-control studies and diagnostic test accuracy analysis. Includes chi-square test and Fisher's exact test for statistical significance.
- Instant odds ratio calculation
- 95% confidence intervals
- Chi-square and Fisher's exact tests
- APA-formatted output
Relative Risk Calculator for Cohort Studies
Compute relative risk and risk ratios for prospective cohort studies. Analyze exposure-disease relationships with comprehensive statistical measures including attributable risk and population attributable fraction.
- Relative risk calculation
- Risk difference analysis
- Attributable risk percent
- Population attributable fraction
2x2 Contingency Table Analysis
Complete 2x2 table analysis with chi-square test for association, Fisher's exact test for small samples, and comprehensive epidemiological measures. Ideal for cross-sectional and case-control studies.
- Chi-square test of independence
- Fisher's exact test
- Yates' continuity correction
- Effect size measures
How to Use the Epidemiology Calculator
Step 1: Enter Your Data
Input your 2x2 table data with exposed/unexposed groups and disease/no disease outcomes. Ensure accurate cell counts for reliable results.
Step 2: Select Analysis Type
Choose between odds ratio (case-control), relative risk (cohort), or comprehensive analysis including both measures with confidence intervals.
Step 3: Interpret Results
Review calculated measures, confidence intervals, and p-values. Use our interpretation guide to understand clinical and statistical significance.
When to Use RR vs OR: Epidemiological Study Comparison
| Study Design | Measure | Best Use Case | Interpretation |
|---|---|---|---|
| Case-Control Study | Odds Ratio (OR) | Rare diseases, retrospective analysis | OR > 1: Increased odds of exposure |
| Cohort Study | Relative Risk (RR) | Common outcomes, prospective follow-up | RR > 1: Increased risk in exposed group |
| Cross-sectional | Prevalence Ratio | Disease prevalence comparison | PR > 1: Higher prevalence in exposed |
| Clinical Trial | Number Needed to Treat | Treatment effectiveness | Lower NNT: More effective treatment |
How to Report Odds Ratio & Relative Risk in APA Style
APA 7th Edition Template:
"Analysis revealed a significant association between [Exposure] and [Outcome], χ²(1, N = [Total N]) = [Chi-Square Value], p = [.XXX]. The odds of [Outcome] were [OR] times higher in the exposed group compared to the unexposed group (OR = [OR], 95% CI [[Lower], [Upper]])."
Copy and paste this template into your results section and replace the placeholders with your calculated values.
Frequently Asked Questions
Related Statistical Tools
Enhance your epidemiological analysis with our comprehensive suite of statistical calculators:
- Calculate confidence intervals for odds ratios and relative risk measures
- Test statistical significance with chi-square and Fisher's exact tests
- Descriptive statistics calculator for data summarization
- Advanced regression analysis for multivariate epidemiological models
Start Your Epidemiological Analysis Today
Browse the calculator suite, choose the module that matches your study design, and sign in when you are ready to run the analysis.
View Epidemiology Calculators Explore All Tools