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Unit of study_

BSTA5004: Data Management and Statistical Computing

The aim of this unit is to provide students with the knowledge and skills required to undertake moderate to high level data manipulation and management in preparation for statistical analysis of data typically arising in health and medical research. Specific objectives are for students to: gain experience in data manipulation and management using two major statistical software packages (Stata and R); learn how to display and summarise data using statistical software; become familiar with the checking and cleaning of data; learn how to link files through use of unique and non-unique identifiers; acquire fundamental programming skills for efficient use of software packages; and learn key principles of confidentiality and privacy in data storage, management and analysis. The topics covered are: Module 1 - Stata and R: The basics (importing and exporting data, recoding data, formatting data, labelling variable names and data values; using dates, data display and summary presentation); and creating programs. Module 2 - Stata and R: graphs, data management and statistical quality assurance methods (including advanced graphics to produce publication-quality graphs); Module 3 - Data management using Stata and R (using functions to generate new variables, appending, merging, transposing longitudinal data; programming skills for efficient and reproducible use of these packages, including loops and arguments.

Code BSTA5004
Academic unit Public Health
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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None

At the completion of this unit, you should be able to:

  • LO1. undertake data manipulation and management using two major statistical software packages (Stata and R)
  • LO2. appropriately display and summarise data using statistical software
  • LO3. understand how to check and clean data
  • LO4. link data files through unique and non-unique identifiers
  • LO5. have fundamental programming skills for efficient use of statistical software
  • LO6. understand key principles of confidentiality and privacy in data storage, management, and analysis

Unit outlines

Unit outlines will be available 1 week before the first day of teaching for the relevant session.