Risk Ratio Calculator
Calculate risk ratios from event counts in exposed and control populations. Determine the attributable risk, attributable fraction, and population attributable fraction — key measures for understanding how much disease burden an exposure explains in epidemiological research.
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What is a Risk Ratio?
The risk ratio (also called the relative risk) is the ratio of the event probability in the exposed group to the event probability in the unexposed group. It is the most direct measure of how much an exposure multiplies (or reduces) the risk of an outcome. An RR of 3.0 means exposed individuals have three times the risk of the outcome compared to unexposed individuals.
Beyond the basic risk ratio, epidemiologists use attributable risk (AR) — the absolute difference in event rates between groups — and the attributable fraction (AF) — the proportion of cases in the exposed group that can be attributed to the exposure. The population attributable fraction (PAF) extends this to the entire population, estimating how much disease would be prevented if the exposure were eliminated entirely.
ব্যবহৃত সূত্র ও সমীকরণ
এই Risk Ratio Calculatorটি ৫টি মূল সমীকরণ ব্যবহার করে:
1 Risk Ratio ▼
Exposed rate: 15 per 1000. Unexposed rate: 5 per 1000. RR = 15/5 = 3.0.
2 Attributable Risk ▼
AR = 15/1000 - 5/1000 = 10/1000. The exposure accounts for 10 extra cases per 1000.
3 Population Attributable Fraction ▼
If 30% of population exposed and RR = 3: PAF = 0.3×2 / (1+0.3×2) = 0.375 = 37.5%.
Explore all calculation options on the অনুপাত ক্যালকুলেটর home page.
এই ক্যালকুলেটরটি কীভাবে ব্যবহার করবেন
এই অনুপাত ক্যালকুলেটর ব্যবহার করতে, নিচের ৩টি ধাপ অনুসরণ করুন:
মান প্রবেশ করান
ইনপুট ক্ষেত্রগুলিতে পরিচিত অনুপাত মানগুলি টাইপ করুন। একটি ক্ষেত্র খালি রাখুন — এটি অজ্ঞাত মান যা অনুপাত ক্যালকুলেটর সমাধান করবে।
মোড নির্বাচন করুন
অনুপাত মোড চয়ন করুন — সমাধান করুন (Solve), সহজ করুন (Simplify), বা স্কেল করুন (Scale)। প্রতিটি মোড আপনার ইনপুট মানগুলিতে বিভিন্ন সমীকরণ প্রয়োগ করে।
ফলাফল পান
হিসাব করুন (Calculate) এ ক্লিক করুন। ফলাফল স্ক্রীন একটি ভিজ্যুয়াল অনুপাত বার, পাই চার্ট এবং ধাপে ধাপে সমাধানের বিবরণ সহ উত্তর প্রদর্শন করে।
উদাহরণ সমস্যা ও ধাপে ধাপে সমাধান
এই অনুপাত ক্যালকুলেটর ব্যবহার করে ধাপে ধাপে সমাধান সহ ৩টি উদাহরণ সমস্যা নিচে দেওয়া হল:
ইনপুট 1 Disease rates: 20/1000 exposed vs 5/1000 unexposed
ইনপুট 2 Calculate PAF: 40% exposed, RR = 2.5
ইনপুট 3 Protective factor: vaccinated risk 3%, unvaccinated 12%
প্রায়শই জিজ্ঞাসিত প্রশ্নাবলী (FAQ)
What is the difference between risk ratio and rate ratio? ▼
Risk ratio compares cumulative incidence proportions (events ÷ population at risk). Rate ratio compares incidence rates (events ÷ person-time at risk). Risk ratios work for fixed-period studies; rate ratios handle variable follow-up. For short studies with little loss to follow-up, they are approximately equal.
What is attributable risk? ▼
Attributable risk (AR) = Risk in exposed − Risk in unexposed. It measures the absolute excess risk due to the exposure. If exposed risk is 15% and unexposed risk is 5%, AR = 10 percentage points. This means 10 extra cases per 100 exposed individuals are attributable to the exposure.
What is the attributable fraction? ▼
Attributable fraction (AF) = (Risk_exposed − Risk_unexposed) ÷ Risk_exposed = (RR − 1) ÷ RR. It represents the proportion of cases among the exposed that can be attributed to the exposure. AF of 0.75 means 75% of cases in the exposed group would not have occurred without the exposure.
What is population attributable fraction (PAF)? ▼
PAF estimates the proportion of all cases in the entire population attributable to the exposure: PAF = P_e × (RR − 1) ÷ [P_e × (RR − 1) + 1], where P_e is the prevalence of exposure. A PAF of 25% means eliminating the exposure would prevent 25% of all cases in the population.
Can risk ratio be negative? ▼
No. Risk ratio is a ratio of two non-negative probabilities and ranges from 0 to infinity. RR = 0 would mean zero events in the exposed group. RR < 1 indicates reduced risk (protective effect). The concept of 'negative risk' does not apply to ratios.
How do I calculate risk ratio from a 2×2 table? ▼
RR = (a/(a+b)) ÷ (c/(c+d)), where a = exposed events, b = exposed non-events, c = unexposed events, d = unexposed non-events. Example: a=30, b=470, c=10, d=490: RR = (30/500) ÷ (10/500) = 0.06/0.02 = 3.0.
Is a higher risk ratio always worse? ▼
It depends on the outcome. RR = 3.0 for disease risk means the exposure triples disease risk (bad). RR = 3.0 for treatment success means the treatment triples the chance of success (good). The interpretation depends on whether the outcome is desirable or undesirable.
How does confounding affect the risk ratio? ▼
Confounders can inflate or deflate the observed RR. For example, if smokers also drink more alcohol, the crude RR for smoking and liver disease will be confounded by alcohol use. Adjusted RR (from stratification or regression) removes confounding to estimate the independent effect of the exposure.
What is the prevented fraction? ▼
When an exposure is protective (RR < 1), the prevented fraction = 1 − RR. It represents the proportion of potential cases prevented by the exposure. For a vaccine with RR = 0.10, the prevented fraction is 90% — the vaccine prevents 90% of cases that would have otherwise occurred.
Can I calculate risk ratio for continuous outcomes? ▼
No. Risk ratio is defined for binary (yes/no) outcomes. For continuous outcomes (blood pressure, weight, test scores), use mean difference, standardized mean difference, or ratio of means. Risk ratio specifically compares the probability of a dichotomous event between groups.