Biostats Flashcards
Equation for Sensitivity and Specificity
Sensitivity = true positive / (true positive + false negative)
Specificity = true negative / (true negative + false positive)
PPV and NPV
Both change based on prevalence of disease in population
PPV (inc if higher prevalence) = if positive test, how likely is it that you have the disease?
NPV (inc if lower prevalence) = if negative test, how likely is it that you don’t have the disease
Absolute Risk v. Relative Risk
Absolute risk is the #1 who experience the risk / total # people
Relative risk is risk in those w/ X minus risk of those w/o X
NNH and NNT
NNH = 1 / AR
NNT = 1/ ARR
If someone performs at 1 ST above mean, what percentile are they in?
84th (68 + 13.5 + 2.5)
How do you double the precision of a test?
Increase the sample size by 4
Because standard error (measure of precision) is std deviation divided by the square root of N
Cohort v. Case Control Study
Cohort = prospective; look at those with and without exposure then see if they develop disease (MEASURE RELATIVE RISK)
Case Control = retrospective; start with those with and without disease and see who had exposure in the past (MEASURE ODDS RATIO)
Selection Bias
Having sicker patients in placebo group
Bergson Bias
Using hospitalized patients in a study instead of general population
Lead-Time Bias
Interpret earlier detection of a disease (screening) as an increase in survival
Type I and II Error
Type I = alpha = false positive (reject null hypothesis when you should not)
Type II = beta = false negative (should reject the null but do not)