Training activity information
Details
Describe the differences between two genomics datasets by applying statistical methods including several of the following:
- Pearson, Spearman or distance correlation coefficients
- Significance by t test or Chi squared test
- Linear regression analysis
- Confidence intervals
- p-values and effect sizes
Type
Developmental training activity (DTA)
Evidence requirements
Evidence the activity has been undertaken by the trainee​.
Reflection on the activity at one or more time points after the event including learning from the activity and/or areas of the trainees practice for development.
An action plan to implement learning and/or to address skills or knowledge gaps identified.
Considerations
Considerations are suggestions about what may be useful for the trainee to think about while undertaking a training activity. They should not be considered as a mandatory checklist. Trainees should not be expected to demonstrate or provide evidence for each of the considerations listed.
- Statistical approaches for assessing differences between datasets
- Distribution
- Correlation
- Sample size
- Power
Relevant learning outcomes
| # | Outcome |
|---|---|
| # 3 |
Outcome
Apply statistical methods to derive meaningful conclusions from data to support clinical decision making. |