0 points, SCA Band 2, 0.000 EFTSL
Postgraduate - Unit
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
Medicine, Nursing and Health Sciences
Department of Epidemiology and Preventive Medicine
- First semester 2017 (Day)
- First semester 2017 (Off-campus)
- Second semester 2017 (Off-campus)
This unit introduces students to biostatistics as applied to public health and management studies. Biostatistics is the science of describing, summarising, and analysing health-related data. It is essential to understand biostatistics in order to design, conduct, and interpret health-related research. The basic principles and methods used in biostatistics are covered in this unit, including the technical qualifications necessary for analysing and interpreting data on a descriptive and bivariate level.
Topics include classifying health data; summarising data using simple statistical methods and graphical presentation; sampling distributions; quantifying uncertainty in results from a sample; working with statistical distributions; comparing two or more groups/methods using confidence intervals and hypothesis tests (p - values); assessing the association between an outcome and an exposure using the chi-squared test; using risk comparisons (RR and OR); predicting an event or identifying risk factors for an event of interest where the event is measured on a continuous scale or a binary scale (yes/no).
Upon successful completion of this unit, students should be able to:
- Classify data into appropriate measurement types.
- Present data using relevant tables, graphical displays, and summary statistics, quantify uncertainty in study results.
- Formulate research hypotheses into a statistical context in public health studies.
- Estimate quantities of interest and evaluate hypothesis with appropriate statistical methods.
- Accurately interpret statistical methods and results reported in health publications.
- Analyse data using a specific software package.
- Assignment 1 (maximum of 2,000 words) (15%)
- Assignment 2 (maximum of 2,500 words) (25%)
- Assignment 3 (maximum of 3,500 words) (40%)
- Online test (MCQ) (30 minutes) (20%)
Sem 1 - DAY mode: 4 contact hours (2 hours lecture and 2 hours tutorial) + 2 hours online guided discussion + 6 hours independent study per week.
Sem 1 - DE mode: 24 contact hours over 3 days + 2 hours online tutorial exercises + 2 hours online guided discussion + 6 hours independent study per week.
Sem 2 - DE mode: 2 hours online lectures (recorded), 2 hours online tutorial exercises + 2 hours online guided discussion + 6 hours of independent study per week.
See also Unit timetable information
Off-campus attendance requirements
3 day on-campus block for off-campus students.
This unit applies to the following area(s) of study
Students will be required to have basic computer literacy skills using Microsoft Windows, Word, Excel, and have access to a calculator equipped with elementary scientific functions (such as the Casio FX-100 calculator) and a statistical package for data analysis (support will be available for software package IBM SPSS).