Equations Flashcards
Sensitivity
proportion of all people with disease who test positive, or the probability that a test detects disease when disease is present
PID = positive in disease
SNOUT = Sensitivity rules out
Sensitivity equation
= TP/(TP + FN)
= 1 - false negatives
Specificity
proportion of all people without disease who test negative, or the probability that a test indicates non-disease when disease is absent
NIH = negative in health
SPIN = specificity rules in
Specificity equation
= TN/(TN + FP)
= 1- false positives
Positive predictive value
proportion of positive test results that are true positive
varies directly with prevalence or pretest probability
Positive predictive value equation
= TP/(TP + FP)
Negative predictive value
proportion of negative test results that are true negative
varies inversely with prevalence or pretest probability
Negative predictive value equation
= TN/(TN + FN)
Incidence
of new cases in a specified time/population at risk
Prevalence
existing cases/population
=incidence rate x average disease duration
greater than incidence for chronic disease
Odds ratio
used in case control studies.
Odds that the group with the disease was exposed to a risk factor divided by the odds that the group without the disease (controls) was exposed.
(a/c)/(b/d) = ad/bc (ODDS had 2 D’s, CC study has 2 C’s)
Relative Risk
used in cohort studies.
Risk of developing disease in the exposed group divided by the risk in the unexposed group
=[a/(a+b)]/[c/(c+d)]
Attributable risk
the difference in risk between exposed and unexposed groups, or the proportion of disease occurrences that are attributable to the exposure
=(a/(a+b)) - (c/(c+d))
Absolute risk reduction
absolute reduction in risk associated with a treatment as compared to a control.
Number needed to treat
number of patients who need to be treated for 1 patient to benefit.
=1/absolute risk reduction
A risk reduction is a positive thing–> use for # needed to treat which is a positive thing