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Unit of study_

PUBH5018: Introductory Biostatistics

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.

Code PUBH5018
Academic unit Public Health
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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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.