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Unit of study_
PUBH5018: Introductory Biostatistics
2021 unit information
This unit introduces students to statistical methods relevant in medicine and health. Students will learn how to appropriately summarise and visualise data, carry out a statistical analysis, interpret p-values and confidence intervals, and present statistical findings in a scientific publication. Students will also learn how to determine the appropriate sample size when planning a research study. Students will learn how to conduct analyses using calculators and statistical software. Specific analysis methods of this unit include: hypothesis tests for one-sample, two paired samples and two independent samples for continuous and binary data; distribution-free methods for two paired samples, two independent samples; correlation and simple linear regression; power and sample size estimation for simple studies; and introduction to multivariable regression models;. Students who wish to continue with their statistical learning after this unit are encouraged to take PUBH5217 Biostatistics: Statistical Modelling.
Unit details and rules
Managing faculty or University school:
Medicine and Health
| Study level | Postgraduate |
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| Academic unit | Public Health |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. choose appropriate measures to summarise data using tables and graphs
- LO2. create simple tables and graphs following guidelines for clear presentation
- LO3. determine and calculate the appropriate summary statistics to summarise different types of distributions
- LO4. understand and explain the concepts of sampling and sampling distributions
- LO5. choose the appropriate hypothesis test to apply based on the type of data collected and the design of the study
- LO6. calculate and interpret confidence intervals for various measures of effects (e.g. single mean, difference in means, difference in proportions)
- LO7. conduct and interpret simple hypothesis tests (e.g. one sample t-test, two-sample t-test, Chi-squared test)
- LO8. understand and explain the difference between statistical significance and practical importance
- LO9. carry out simple statistical methods using statistical software
- LO10. interpret the output produced by statistical software
- LO11. write concise descriptions that summarise the results from a statistical analysis
- LO12. determine the sample size requirements for simple studies.
Unit availability
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