Epidemiology and ethics 1 Flashcards
Case fatality rate
percentage of people with a given disease who die within a certain amount of time
birth rate
live births per 1000
fertility rate
live births per 1000
of women aged 15-45 years
death rate
deaths/1000
neonatal mortality rate
neonatal deaths (first 28 days of life)/10000 live births
perinatal mortality rate
neonatal deaths+ stillbirths/1000 total births
infant mortality rate
deaths (from 0-1 yo)/1000 live births
maternal mortality rate
maternal pregnancy-related deaths (deaths while pregnant or in the first 42 days after delivery)/100,000 live births
relative risk
probability of getting disease in group that is exposed to risk factor, compared to (divided by) probability of getting that disease in people who are unexposed
A/(A+B)/C(C+D)
RR>1 positive disease
RR
Odds ratio
A/C divided by B/D
Attributable risk
difference in risk between exposed and unexposed
A/(A+B)- C/(C+D)
Absolute risk reduction
Conceptually similar to calculation of attributable risk, but opposute
C/(C+D)-A/(A+B)
NNT
1/ARR
The number of patients you would need to treat in order to save/affect one life
important to determine if a drug should be used or is cost effective
Sensitivity
Probability that a screening test will be positive in patients with a disease
A/(A+C)
Specificity
D/(B+D)
false positive rate= 1-specificity
PPV
PPV= A/(A+B)
what’s the value of the positive test result? likelihood that the person will be positive if they have tested positive
NPV
NPV= D/(C+D)
high prevalence gives high positive predictive value
low prevalence gives high negative predictive value
Likelihood ratio
does not depend on prevalence
odds of having a positive test result in individuals with a disease, compared with the odds of a positive result in those without the disease
(the positive person should test positive)
PLR= sensitivity/1-specificity
or sensitivity/false pos rate
NLR= 1-sensitivity/specificity
or false neg rate/specificity
Negative likelihood ratio
odds of having a negative test result in individuals with a disease compared with the odds of a negative result in those without the disease
NLR= 1-sensitivity/specificity
or false neg rate/specificity
PLR= sensitivity/1-specificity
or sensitivity/false pos rate
Accuracy
correct/true results
true pos/true neg/everything
Type i error
rejects null even though it’s true