Formulas Flashcards
odds ratio
odds of exposure among cases (a/c) versus odds of exposure among controls (b/d)
OR = (a/c)/(b/d) = ad/bc
relative risk
risk of developing disease in the exposed group divided by risk in the unexposed group
RR = (a/[a + b]) / (c/[c + d])
relative risk reduction
proportion of risk reduction attributable to the intervention as compared to a control
RRR = 1 - RR
attributable risk
difference in risk between exposed and unexposed groups
AR = (a/[a + b]) - (c/[c + d])
AR% = (RR - 1)/RR * 100
absolute risk reduction
difference in risk (not the proportion) attributable to the intervention as compared to a control
ARR = (c/[c + d]) - (a/[a +b])
number needed to treat
number of patients who need to be treated for one patient to benefit
NNT = 1/ARR
number needed to harm
number of patients who need to be exposed to a risk factor for one patient to be harmed
NNH = 1/AR
mortality rate
number of deaths within a population over a defined period
deaths/1000 people per year
attack rate
proportion of exposed people who become ill
(people who become ill)/(total people exposed)
likelihood ratio
LR+ = (probability of positive result in a patient with disorder) / (probability of positive result in patient without disorder)
= (sensitivity) / (1 - specificity)
= (TP rate) / (FP rate)
LR- = (probability of a negative result in a patient with disorder) / (probability of negative result in patient without disorder)
= (1 - sensitivity) / (specificity)
= (FN rate) / (TN rate)
LR+ >10 = highly specific test
LR- < 0.1 = high sensitive test
posttest probability
posttest probability = posttest odds / (posttest odds + 1)
posttest odds = pretest probability * LR
sensitivity
true positive rate; proportion of all people with disease who test positive
= TP / (TP + FN)
= 1 - FN rate
specificity
true negative rate; proportion of all people without disease who test negative
= TN / (TN + FP)
= 1 - FP rate
positive predictive value
probability that a person who has a positive test result actually has the disease
PPV = TP / (TP + FP)
negative predictive value
probability that a person with a negative test result actually does not have the disease
NPV = TN / (TN + FN)
standard error
SE = SD/(square root of sample size)
statistical power
power = 1 - B
B: probability of making a type II error
confidence interval
range of values within which the true mean of the population is expected to fall
CI = 1 - a
CI for sample mean = mean +/- Z(SE)