Competency information
Details
Determine the type I and type II error that is acceptable.
Considerations
- Formulation of the null hypothesis.
- Statistical hypothesis testing.
- Type I (false positive) and type II (false negative) errors.
- Primary and secondary outcomes.
- Statistical vs clinical significance.
- Expected magnitude of effect.
- Necessary assumptions, e.g. proportion of controls exposed, standard deviation of the outcome measurement.
- How power may have affected the interpretation of the study results.
Relevant learning outcomes
| # | Outcome |
|---|---|
| # 3 | Outcome Calculate the sample size required for an analytical study, or the power of a study that has already been conducted, and discuss the impact of this on the study and the interpretation of findings in relation to patients or the public. |