Relative Risk Calculator
The Relative Risk Calculator computes the ratio of event probabilities between exposed and unexposed groups in cohort studies. Determine relative risk (RR), absolute risk reduction (ARR), and number needed to treat (NNT) from your study data.
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What is Relative Risk?
Relative risk (RR) compares the probability of an event in the exposed group to the probability in the unexposed group. An RR of 2.0 means exposed individuals are twice as likely to experience the outcome. An RR of 0.5 means exposure halves the risk (50% risk reduction).
Relative risk is the standard measure of association in cohort studies and randomized controlled trials. It's more intuitive than odds ratio because it directly represents probability ratios. RR = 1.0 means no difference between groups.
Използвани Формули и Уравнения
Този калкулатор използва 5 основни уравнения:
1 Relative Risk ▼
Risk in exposed = a/(a+b). Risk in unexposed = c/(c+d). RR is their ratio.
2 Absolute Risk Reduction ▼
If control risk = 20% and treatment risk = 12%: ARR = 20% - 12% = 8 percentage points.
3 Number Needed to Treat ▼
ARR of 8%: NNT = 1/0.08 = 12.5. You need to treat 13 patients to prevent 1 event.
Как се Използва този Калкулатор
За да използвате този Калкулатор за Отношения, следвайте 3 лесни стъпки:
Въведете Данни
Въведете известните стойности на съотношението в полетата за въвеждане. Оставете едно поле празно — това е неизвестното, което калкулаторът ще реши.
Изберете Режим
Изберете режим на съотношение — Реши, Опрости или Мащабирай. Всеки режим прилага различни уравнения към вашите входни стойности.
Получете Резултати
Кликнете върху Пресметни. Екранът с резултати показва отговора с цветна скала, кръгова диаграма и пошагово решение.
Примерни Задачи с Решения Стъпка по Стъпка
Ето 3 практически примера с подробно математическо обяснение на стъпките:
Вход 1 Drug trial: treated group vs placebo
Вход 2 Smoking and heart disease (cohort study)
Вход 3 Calculate NNT for a vaccine
Често Задавани Въпроси
What does a relative risk of 1.0 mean? ▼
RR = 1.0 means the event is equally likely in both groups — no association between exposure and outcome. RR > 1 indicates increased risk; RR < 1 indicates decreased risk (protection).
How is relative risk different from odds ratio? ▼
RR uses probabilities (events/total), while OR uses odds (events/non-events). For rare outcomes (<10%), they're nearly equal. For common outcomes, OR overstates the association compared to RR.
What is a clinically significant relative risk? ▼
This depends on context. In cancer screening, RR = 0.80 (20% risk reduction) may be significant. In vaccine trials, RR = 0.05 (95% efficacy) is transformative. Always consider both RR and ARR.
Can relative risk be used in case-control studies? ▼
No. Case-control studies sample by outcome, not exposure, so you can't calculate true incidence rates. Use odds ratio instead. RR is only valid in cohort studies and RCTs where you follow groups over time.
What is the number needed to treat (NNT)? ▼
NNT is the inverse of absolute risk reduction. It tells you how many patients must receive treatment to prevent one adverse event. Lower NNT = more effective treatment. NNT of 10 means treat 10 patients to prevent 1 event.