This unit introduces students to statistical methods relevant in medicine and health. Students will learn how to build datasets and basic data management procedures, summarise and visualise data, choose the correct statistical analysis, conduct this analysis using statistical software, interpret its results, and report statistical findings in a format suitable for inclusion in scientific publications. Students will also learn to consider the difference between statistical significance and practical importance, and how to determine the appropriate sample size when planning a research study. Specific analysis methods covered in this unit include: descriptive methods; hypothesis tests for one sample, paired samples and two independent groups for continuous and categorical data; correlation and linear regression; power and sample size estimation for simple studies. All these topics are introduced with an emphasis on practical application and interpretation and are supported using statistical software. The general principles developed in this unit can be easily extended to more advanced methods; students who wish to continue with their statistical learning after this unit are encouraged to take PUBH5217 Biostatistics: Statistical Modelling.
Unit details and rules
Academic unit | Public Health |
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Credit points | 6 |
Prerequisites
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None |
Corequisites
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None |
Prohibitions
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PUBH5018 |
Assumed knowledge
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None |
Available to study abroad and exchange students | Yes |
Teaching staff
Coordinator | Erin Cvejic, erin.cvejic@sydney.edu.au |
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Lecturer(s) | Andrew Grant, andrew.grant1@sydney.edu.au |
Erin Cvejic, erin.cvejic@sydney.edu.au | |
Tutor(s) | Lucy Corbett, lucy.corbett@sydney.edu.au |
Kate Milledge, kate.milledge@sydney.edu.au |