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This unit introduces fundamental statistical concepts and their application in healthcare. By engaging with real-world case studies, students will learn to analyse simple public health datasets gaining proficiency in software tools such as Excel and R, crucial for managing and analysing biological and health data. They will learn about the importance of clinical trials in evidence-based health care and explore ethical considerations, trial designs, and statistical principles that govern the evaluation of clinical research. This foundational unit serves as a critical stepping stone for students pursuing advanced studies and careers in allied health, medicine, public health, and biomedical research, providing them with the analytical toolkit necessary to thrive in these dynamic fields. By bridging theory with practice, students will gain not only knowledge but also the confidence to navigate and contribute to the evolving landscape of health sciences.
| Study level | Undergraduate |
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| Academic unit | Department of Medical Sciences |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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BBHE1004 |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
The learning outcomes for this unit will be available two weeks before the first day of teaching.
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2026
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Normal day | Westmead, Sydney |
Outline unavailable
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