Courses & Units

Introduction to Biostatistics CAM625

Introduction

The aims of this unit are: to introduce fundamental concepts of biostatistics and provide a background in descriptive and analytical methods that are used to estimate association between variables. This unit covers statistical theory, data entry and manipulation methods, data summarising, basic methods of association and linear and logistic regression. With the basic tools found within this unit students will be able to enter, manipulate and check the validity of data and use statistical software to analyse and interpret results. Students will be required to use Microsoft Excel, Word and statistical software R (RStudio). The analytical methods used here form the foundation of research methods in epidemiology and health services research.


Summary

Unit name Introduction to Biostatistics
Unit code CAM625
Credit points 12.5
College/School College of Health and Medicine
School of Medicine
Discipline Medicine
Coordinator Doctor Karen Wills
Delivered By University of Tasmania
Level Postgraduate

Availability

Location Study period Attendance options Available to
Hobart Semester 2 On-Campus International Domestic
Online Semester 2 Off-Campus International Domestic

Key

On-campus
Off-Campus
International students
Domestic students
Note

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Key Dates

Study Period Start date Census date WW date End date
Semester 2 10/7/2023 8/8/2023 28/8/2023 15/10/2023

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • Apply your knowledge of statistical theory to produce summary statistics for health research data.
  • Implement data management guidelines for health research data.
  • Manage and analyse health research data using a statistical package.
  • Identify and apply appropriate statistical methods to analyse health research data.
  • Interpret, summarise and communicate the results of a statistical analyses.
Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Course Student Contribution 2 Domestic Full Fee
not applicable

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Teaching

Teaching Pattern

Fully flexible on-line

AssessmentQuizzes (50%)|Statistical reports (50%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Required readings will be listed in the unit outline prior to the start of classes.

LinksBooktopia textbook finder

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