A condensed rapid review pass over the highest yield biostatistics and epidemiology formulas and study design facts for final week review.
40 cards · basic cards · AI-written, checked twice. Edit anything.
- What is the formula for sensitivity?
- True positives / (True positives + False negatives)
- What is the formula for specificity?
- True negatives / (True negatives + False positives)
- What is the formula for positive predictive value (PPV)?
- True positives / (True positives + False positives)
- What is the formula for negative predictive value (NPV)?
- True negatives / (True negatives + False negatives)
- As disease prevalence increases, positive predictive value ____.
- increases
- As disease prevalence increases, negative predictive value ____.
- decreases
- Do sensitivity and specificity change with disease prevalence?
- No, they are intrinsic properties of the test itself
- What is the formula for the positive likelihood ratio?
- Sensitivity / (1 - Specificity)
- What is the formula for the negative likelihood ratio?
- (1 - Sensitivity) / Specificity
- What does the mnemonic SnNout mean?
- A highly sensitive test, when negative, rules out disease
- What does the mnemonic SpPin mean?
- A highly specific test, when positive, rules in disease
- In which study design is the odds ratio the appropriate measure of association?
- Case-control studies
- In which study design is relative risk the appropriate measure of association?
- Cohort studies
- What is the formula for relative risk reduction (RRR)?
- (Risk in unexposed - Risk in exposed) / Risk in unexposed
- What is the formula for absolute risk reduction (ARR)?
- Risk in unexposed (control) group minus risk in exposed (treatment) group