Course objectives are to provide students with skills to undertake moderate to high level data management, manipulation and analysis. Specific objectives are for students to:

* Be familiar with sources of data, issues in data entry, structure of data and data checking
* Understand different methods of data storage such as unit records, matrix files, longitudinal data, use of relational databases and retrieving data, including data transfer, backup and security
* Be experienced in cleaning of data, use of post data entry checks, validity of fields, outliers and data trimming
*Be experienced in linking files through use of unique and non-unique identifiers
* Be aware of the importance of confidentiality in data storage, management and analysis
* Be experienced in the analysis of a variety of large data sets
* Have experience in data manipulation and management using the major statistical software

The course will be built around data sets obtained for different purposes, including routinely collected data. Content will include sources of data, data storage, cleaning data, linking files, analysing large data sets and computer software.

N/A

N/A

0

Mathematical Background for Biostatistics (BIOS6040)

Distance Learning : Paper Based

Email Discussion Group
Self Directed Learning

Email Discussion Group: for 2 hour(s) per Week for Full Term
Self Directed Learning: for 6 hour(s) per Week for Full Term