Data Management and Statistical Computing - BCA804
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. The topics covered are:
• Module 1 – Stata and SAS: 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 SAS: graphs, data management and statistical quality assurance methods (including advanced graphics to produce publication-quality graphs)
• Module 3 – Data management using Stata and SAS (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
Because of the multi-institutional nature of the BCA units, there is an early cut-off for enrolment in this unit. These dates are:
Session 1: 19 February 2018
Session 2: 23 July 2018
| Credit Points: | 4 |
| When Offered: | S1 Online - Session 1, Online S2 Online - Session 2, Online |
| Staff Contact(s): | Professor Gillian Heller |
| Prerequisites: |
Admission to MBioStat or GradDipBioStat or GradCertBioStat or MActPrac |
| Corequisites: | |
| NCCW(s): | |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Mathematics and Statistics Faculty of Science and Engineering |
Course structures, including unit offerings, are subject to change.
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