Applied Statistics, Data Science and Quality in Clinical Bioinformatics —
Training activity: 5

Details

Analyse the variation in a genomics dataset by deriving summary statistics programmatically, and justify the choice of summary statistics

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

• For example:
  • Mean
  • Median
  • Quartiles
  • Determine if the data are normally distributed
  • Cumulative distribution analysis
  • Standard deviation
  • Identify outliers
  • Correlation

Relevant learning outcomes

#	Outcome
# 2	Outcome Perform programmatic data analysis.
# 3	Outcome Apply statistical methods to derive meaningful conclusions from data to support clinical decision making.