Biostats Flashcards
Type 1 error
- finding a difference when one doesn’t really exist
- alpha = 0.05
Type 2 error
- not finding a difference when one exists
- beta = 0.2
Power =
1 - beta
Tests - continuous variables, 2 groups
- t-test (parametric)
- Mann Whitney U or Wilcoxon Rank (nonparametric)
Tests - continuous variables, 3 or more groups
- ANOVA (parametric)
- Kruskal Wallis (nonparametric)
Tests - categorical variables
- Chi square
- Fisher’s exact (< 5 subjects in a square)
Tests - linear regression
- dependent variable = continuous
Tests - logistic regression
- dependent variable = dichotomous
Relative Risk (RR)
- compares probability in each group
- used in prospective cohort studies, RCTs
Odds Ratio (OR)
- used in case control studies
- reflects RR when probability of disease is low (~10%)
RR =
a/(a + b) / c/(c + d)
OR =
(a / c) / (b / d) OR (a x d)/(b x c)
NNT =
1 / ARR (absolute risk reduction)
ARR =
risk of outcome in control group - risk of outcome in intervention group
Sensitivity =
a / (a + c)