Statistics Flashcards
Negative predictive value
NPV=TN/TN+FN
Sensitivity
TP=TP/TP+FN
Probability of a diseased person testing positive
Specificity
TN/TN+FP
Probability of a non diseased person testing negative
Positive predictive value
PPV=TP/TP+FP
Probability that an individual truly has a disease given a positive test result
Number needed to harm
Indicates how many patients need to be exposed before a harmful event occurs in 1 patient
It is the inverse of absolute risk increase
Absolute risk increase(ARI)
Difference in incidence rate between the exposed and nonexposed groups
Number needed to treat
Determines the number of patients who need to be exposed to prevent 1 bad outcome
NNT is the inverse of absolute risk reduction
Odds ratio
Measure of association between an exposure and an outcome
In other words, it represents the odds that an outcome(cardiovascular event) will occur in the presence of a particular exposure compared to the odds of that outcome in a control group
-OR>1 means the exposure is associated with higher odds of the outcome
-OR
Positive likelihood ratio
Sensitivity/1-specificity
Represents the likelihood of having the disease given a positive result
Negative liklihood ratio
1-sensitivity/specificity
Represents the liklihood of having the disease given a negative result