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Course profile

Introduction to Biostatistics (PUBH7630)

Study period
Sem 1 2025
Location
External
Attendance mode
Online

Course overview

Study period
Semester 1, 2025 (24/02/2025 - 21/06/2025)
Study level
Postgraduate Coursework
Location
External
Attendance mode
Online
Units
2
Administrative campus
Herston
Coordinating unit
Public Health School

This course covers data collection, management and presentation; sampling and sample selection; sampling variability and statistical inference including estimation, confidence-intervals, hypothesis testing and sample size calculation; statistical computing; planning and reporting statistical analyses.

This core Public Health course complements PUBH7600 Introduction to Epidemiology. The quantitative disciplines of epidemiology and biostatistics underpin the practice of health care at all levels and both have a vital role in disease prevention. Biostatistics is the science of describing, summarising and analysing health data. An understanding of biostatistics is a necessary prerequisite to the design and conduct of health studies.

Course requirements

Assumed background

Some computer literacy is assumed, including the use of Word, Excel and EndNote. The UQ Library offers training courses - please see https://web.library.uq.edu.au/library-services/training.

This course is focused on biostatistics and cannot offer training in English or writing. However, a good grasp of the English language and its grammar is needed for the course. If you feel that you are lacking in this area, please utilise the services available to UQ students via Student Services http://www.uq.edu.au/student-services/Learning.

Incompatible

You can't enrol in this course if you've already completed the following:

PUBH7290

Jointly taught details

This course is jointly-taught with:

  • HLTH6011

All course content, learning activities, and assessments are consistent across all joint shared activities.

Course contact

Course staff

Lecturer

Tutor

Ms Brittnee Bryer

Timetable

Additional timetable information

Workshop 1 - 07/03/2025ᅠ14:00-17:00

Workshop 2 - 14/03/2025ᅠ14:00-17:00

Workshop 3 - 28/03/2025ᅠ14:00-17:00

Workshop 4 - 11/04/2025ᅠ14:00-17:00

Workshop 5 - 02/05/2025ᅠ14:00-17:00

Workshop 6 - 23/05/2025 14:00-17:00

Learners enrolled in 'In-Person' mode are encouraged to attend face-to-face on campus for the best in-person learning experience.

The location details are available in My Timetable (my.UQ Dashboard).ᅠ

Aims and outcomes

The aim of the course is to demonstrate the fundamental importance of biostatistics to both health research and evidence-based health. We will introduce you to the principles and methods used in biostatistics, and show you how they are used in practice.

Learning outcomes

After successfully completing this course you should be able to:

LO1.

Recognise, summarise, and present (oral and written) different types of quantitative data

LO2.

Apply and interpret fundamental principles of biostatistics, analysis techniques, and results

LO3.

Describe a structured questionnaire to collect quantitative information reliably and accurately

LO4.

Select an appropriate sampling scheme and implement the best data management practice for collecting and computerising information

LO5.

Construct a plan of analysis to address research objectives

LO6.

Explain the concepts of statistical power and estimate sample size for simple study designs

Assessment

Assessment summary

Category Assessment task Weight Due date
Paper/ Report/ Annotation, Presentation, Project Project
  • Hurdle
55%

Working Document - 31/03/2025

Peer Feedback - 7/04/2025

Final Report - 6/05/2025

Short Video - 9/05/2025

Paper/ Report/ Annotation Problem Set
  • Hurdle
45%

30/05/2025

A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.

Assessment details

Project

  • Hurdle
Mode
Product/ Artefact/ Multimedia, Written
Category
Paper/ Report/ Annotation, Presentation, Project
Weight
55%
Due date

Working Document - 31/03/2025

Peer Feedback - 7/04/2025

Final Report - 6/05/2025

Short Video - 9/05/2025

Other conditions
Student specific, Peer assessed, Longitudinal.

See the conditions definitions

Learning outcomes
L01, L02

Task description

This project is a progressive assessment spanning weeks 1 to 10 of the semester. Students are encouraged to regularly work in their project as they progress through the Course. The main components of this project are:

  • Select a dataset – See specific instructions about the dataset on the Blackboard.
  • Apply statistical analysis techniques covered in UQ Extend to your dataset. Specific instructions will be released via Blackboard.
  • Conduct a peer feedback activity. Specific instructions will be released on the Blackboard closer to the due dates.
  • You will submit a final report and a short video presentation at the end. Specific instructions will be released on Blackboard closer to the due dates.


Weighting (55%):

  • Working Document - 10%
  • Peer Feedback - 15%
  • Final Report - 20%
  • Short Video - 10%

Hurdle requirements

In order to pass this course each student is expected to complete and hand in ALL ASSESSMENT TASKS.

Submission guidelines

Deferral or extension

You may be able to apply for an extension.

Please see 10. Policies & Guidelines

Late submission

Please see 10. Policies & Guidelines

Problem Set

  • Hurdle
Mode
Written
Category
Paper/ Report/ Annotation
Weight
45%
Due date

30/05/2025

Task description

As you progress through advanced topics you will be working on a problem set as per the instructions on the Blackboard

Hurdle requirements

In order to pass this course each student is expected to complete and hand in ALL ASSESSMENT TASKS.

Submission guidelines

Deferral or extension

You may be able to apply for an extension.

Please see 10. Policies & Guidelines

Late submission

Please see 10. Policies & Guidelines

Course grading

Full criteria for each grade is available in the Assessment Procedure.

Grade Description
1 (Low Fail)

Absence of evidence of achievement of course learning outcomes.

Course grade description: typically 0 - 19%

2 (Fail)

Minimal evidence of achievement of course learning outcomes.

Course grade description: typically 20 - 44%

3 (Marginal Fail)

Demonstrated evidence of developing achievement of course learning outcomes

Course grade description: typically 45 - 49%

4 (Pass)

Demonstrated evidence of functional achievement of course learning outcomes.

Course grade description: typically 50 - 64%

5 (Credit)

Demonstrated evidence of proficient achievement of course learning outcomes.

Course grade description: typically 65 - 74%

6 (Distinction)

Demonstrated evidence of advanced achievement of course learning outcomes.

Course grade description: typically 75 - 84%

7 (High Distinction)

Demonstrated evidence of exceptional achievement of course learning outcomes.

Course grade description: typically 85 - 100%

Additional course grading information

The course's Learning Objectives are covered across the four assessments. Therefore,ᅠA REASONABLE ATTEMPT NEEDS TO BE SUBMITTED FOR ALL ASSESSMENTS TO PASS THIS COURSE.

Supplementary assessment

Supplementary assessment is available for this course.

The final grade awarded will be based on the results of the supplementary assessment only, and a passing grade will be awarded if, and only if, the student receives at least 50% of the marks on the supplementary assessment. 

Additional assessment information

Please note: Learning objectives are covered across all of the assessments for the course.

In order to pass this course each student is expected to complete and hand in ALL ASSESSMENT TASKS.

Final marks will not be available until after the examiners' meeting. It is part of a formal process that all marks are reviewed by the responsible group before they become available to students.

Assignment Submission:

Turnitin no longer automatically emails students a receipt when they upload an assignment.ᅠ Students need to download their receipt manually and keep a copy as proof of submission.ᅠ ᅠ

Assignments for this course will be submitted electronically via Blackboard and/or using Tunitin.

Assignments for this course will be submitted electronically via Blackboard and/or using Tunitin.ᅠBefore submitted any assignments for this course you must ensure you have completed UQ’s compulsory onlineᅠAcademic Integrity Tutorial.

When you successfully submit your assessment you need to download your receipt and keep a copy as proof of submission.ᅠ It is the responsibility of the student to check the assignment preview and confirm that the assignment has been successfully submitted.ᅠᅠ

If the submission was not successful:

  1. Note the error message (preferably take a screenshot)
  2. Go to your assignment page and see if it is possible to submit again
  3. If you cannot submit again email your course coordinator immediately.

Re-marking of work

Students are able to request a re-mark if they have valid academic reasons for disputing a mark awarded. The student must first seek and receive feedback from the course coordinator and then apply online via their my.UQ outlining their case. If a re-mark is approved then, in all cases, the re-mark replaces the original mark, which could lead to final grade going up, down, or remaining the same.ᅠ

Learning resources

You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.

Library resources

Library resources are available on the UQ Library website.

Additional learning resources information

All detailed information about learning resources, activities and assessments is located on theᅠBlackboard site (learn.uq.edu.au)!

Learning activities

The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.

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Learning period Activity type Topic
Week 1

(24 Feb - 02 Mar)

Not Timetabled

UQ Extend Module A: Topic 1

The Role of Statistics in Health. Install the required R libraries on your computer. Get acquainted with R Commander

Learning outcomes: L01

Week 2

(03 Mar - 09 Mar)

Not Timetabled

UQ Extend Module A: Topic 2 & Tutorial 2

Data Description

Learning outcomes: L01

Week 3

(10 Mar - 16 Mar)

Not Timetabled

UQ Extend Module A: Topic 3

Practical Measurement & Questionnaire Design

Learning outcomes: L03

Week 4

(17 Mar - 23 Mar)

Not Timetabled

UQ Extend Module A: Topic 4 & Tutorial 4

Modelling Variability in Populations and Samples

Learning outcomes: L02

Week 5

(24 Mar - 30 Mar)

Not Timetabled

UQ Extend Module B: Topic 5 & Tutorial 5

Analysing Categorical Data

Learning outcomes: L01, L02

Week 6

(31 Mar - 06 Apr)

Not Timetabled

UQ Extend Module B: Topic 6 & Tutorial 6

Correlation and Regression

Learning outcomes: L01, L02

Week 7

(07 Apr - 13 Apr)

Not Timetabled

UQ Extend Module B: Topic 7 & Tutorial 7

Analysing Differences among Means

Learning outcomes: L01, L02

Week 8

(14 Apr - 20 Apr)

Not Timetabled

UQ Extend Module B: Topic 8 & Tutorial 8

Addressing Violations of Statistical Assumptions

Learning outcomes: L02

Week 9

(28 Apr - 04 May)

Not Timetabled

UQ Extend Module B: Topic 9 & Tutorial 9

Designing an Analysis Plan

Learning outcomes: L05

Week 10

(05 May - 11 May)

Not Timetabled

UQ Extend Module C: Topic 10 & Tutorial 10

Sample Size for Simple Random Sampling

Week 11

(12 May - 18 May)

Not Timetabled

UQ Extend Module C: Topics 11, Tutorials 11

Complex Sampling

Learning outcomes: L04

Week 12

(19 May - 25 May)

Not Timetabled

UQ Extend Module C: Topic 12

Quality Control in Data Management and Ownership of Indigenous Research

Learning outcomes: L01, L02, L04

Policies and procedures

University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:

Learn more about UQ policies on my.UQ and the Policy and Procedure Library.

Course guidelines

School of Public Health (SPH) Guidelines for late submission of progressive assessment - Preamble

To apply for an extension to the due date for a piece of progressive assessment (eg assignments, oral presentations and computer-based assignments) students should complete the online request at  https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension?p=2#2  

Information regarding deferral of in-semester exams and end-of-semester exams is available from https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/deferring-exam 

If requesting an extension on medical grounds, a medical certificate must be provided. The extension will be approved for the number of days included in the medical certificate that the student was not fit to study or work, eg if the medical certificate is for 3 days, an extension will be approved for 3 days maximum regardless of the student's request.  

If requesting an extension using a Student Access Plan (SAP) as evidence, a maximum of 7-day extension will be approved in the first instance. Updated medical documentation, as well as a copy of the SAP, is required if requesting an extension for more than 7 days. 

The maximum time for an in-semester extension is four weeks.  

The following SPH guidelines are consistent with the UQ policy. However, the SPH Guidelines contain specific rules and interpretations for SPH courses, and requests for extension and penalties for late submissions will be judged according to the guidelines outlined in this document. You should read both the information in your my.UQ at the following link: https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension and the SPH guidelines (below) before submitting a request for an extension. The SPH Guidelines apply to all courses offered by the School of Public Health unless the Course Profile explicitly states otherwise.

 

SPH Guidelines for late submission of progressive assessment

Initial extension for an individual item of assessment – the SPH Teaching & Assessment Support Team and/or the Course Coordinator decides.

This could be for medical or compassionate reasons, or if, in the opinion of the Course Coordinator, there are exceptional circumstances.

Acceptable and unacceptable reasons for an extension are listed at the following link, along with the required evidence to be provided:  https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension?p=1#1

All requests should be lodged at least 24 hours prior to the due date for the assessment.

If applying for an extension after the due date and time of the assessment item, your request may not be approved. An explanation as to why your request was not submitted prior must be included.       

If approved, a new due date will be set. This would generally be no later than 7 days after the original due date, however this can be modified to take account of the circumstances of the request and the time that would have been lost from studies.

If the new due date is past the date for submission of end-of-semester results, the student will receive an INC (incomplete) result.

Second and all subsequent extensions for an individual item of assessment – the SPH Teaching & Assessment Support Team and/or the Program Director together with the Course Coordinator decides.

This would only be approved for exceptional circumstance with supporting documentation.

  • Online requests must be made at least 24 hours prior to the due date from the first extension.
  • The SPH Teaching & Assessment Support Team and/or the Course Coordinator will consult with the Program Director, who will make the final decision.
  • If approved, the new due date would generally be no later than 7 days after the first extension due date.
  • The Program Director should consider if remedial or other support should be offered to the student.
  • The Program Director should provide a report on these matters as needed at SPH Examiners’ Meetings.

Please Note: In order to support course progression, extensions that total more than 14 calendar days from the original due date of an assessment item will only be approved in very exceptional circumstances. These requests are assessed and approved or denied on a case-by-case basis. 

If you have been ill or unable to attend class for more than 14 days, we advise you to carefully consider whether you are capable of successfully completing your courses this semester. You might be eligible to withdraw without academic penalty.

 

Penalty for late submission

Submission of assignments, practical reports, workbooks, and other types of written assessments after the due date specified in the Course Profile will receive a penalty.

The penalty will be a deduction of 10% RELATIVE PERCENTAGE per day (24 hour period or part thereof, including weekends and public holidays) or for work graded on a 1-7 scale, a deduction of one grade per day, e.g. If the original mark is 73%, then 10% relative percentage is 10% of this value, ie 7.3%, The final mark for this assessment item after applying the penalty for 1 day late submission would be 73 -7.3 = 65.7% The same outcome is achieved by multiplying the original score by .9; ie 73 x .9 = 65.7%

The penalty for multiple days late is the relative percentage multiplied by the number of days late. 

A submission that is not made within 10 days of the due date will receive a mark of 0% for that assessment item.

Where a student has sought more than one extension, the due date for calculating the penalty will be the due date for the most recently approved extension.

Submission of Medical Certificates

Students are responsible for ensuring that any medical documentation they submit is authentic and signed by a registered medical practitioner. Such practitioners can be identified via the AHPRA website. Also note that:

  • Not all online medical services are staffed by registered practitioners
  • If the registration status of the practitioner cannot be verified, then an alternative practitioner should be sought
  • Students will be held fully responsible for all documentation they submit, even if done so in ignorance of the practitioner's registration status

Medical documentation may be subjected to an audit by the University.

 

SPH Assessment Guidelines

The School of Public Health assessment tasks have been designed to be challenging, authentic and complex. While students may us AI technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.

A failure to reference AI use may constitute student misconduct under the Student Code of Conduct.

To pass this assessment, students will be required to demonstrate detailed comprehension of their written submission independent of AI tools.