This course focuses on statistical methods for collecting, presenting, and analysing data in health research and critically interpreting the findings.
Health Data Analysis (PUBH2007) focuses on methods for collecting, presenting, and analysing data in health research, as well as critically interpreting the findings. The course emphasizes statistical literacy and conceptual understanding, equipping students with the skills to handle real-world health data. Topics include data collection techniques, descriptive and inferential statistics, data visualization, and the use of statistical software. Through practical exercises and case studies, students will learn to apply these methods to current health issues, enhancing their ability to make data-driven decisions in public health contexts.
You can't enrol in this course if you've already completed the following:
STAT1201 or ECON1310 or HMST3846
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The timetable for this course is available on the UQ Public Timetable.
The course will consist of two-hour lecture followed by one-hour tutorial, combining traditional lectures with interactive sessions to deliver course material and hands-on tutorial session. Our aim is to merge the transmission of knowledge through lectures with the active engagement and collaborative opportunities typically found in tutorials. It is essential that students attend all sessions, which are scheduled for 3 hours per week and will take place exclusively at the Herston Campus. Please note that there will be NO live online or Zoom classes available for this course.
The aim of this course is to introduce students to the basic principlesﾠof health research design, including conceptual understanding and statistical literacy. The focus is on collecting, presenting and analysing health data and interpreting the findings.
After successfully completing this course you should be able to:
LO1.
Identify appropriate contexts for applying quantitative research methods in health.
LO2.
Recognise the ubiquity of variation in health and understand how biostatistics quantifies uncertainty.
LO3.
Explore health data graphically and numerically using appropriate statistical software.
LO4.
Estimate population parameters using sample health data.
LO5.
Perform statistical inference and interpret the results within the context of practical relevance in health.
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Paper/ Report/ Annotation, Participation/ Student contribution, Presentation, Project, Reflection, Role play/ Simulation |
Assessment 2
|
60% |
Reflection 1 - 5/08/2024 Working Document - 26/08/2024 Reflection 2 - 2/09/2024 Reflection 3 - 14/10/2024 Final Report - 18/10/2024 Group Video - 25/10/2024 Reflection 4 - 4/11/2024 |
| Translation/ Interpretation, Tutorial/ Problem Set |
Assessment 1
|
40% |
16/09/2024 |
Reflection 1 - 5/08/2024
Working Document - 26/08/2024
Reflection 2 - 2/09/2024
Reflection 3 - 14/10/2024
Final Report - 18/10/2024
Group Video - 25/10/2024
Reflection 4 - 4/11/2024
The assessment is a project based learning with individual and group tasks. Assessment 2 is a progressive assessment spanning weeks 1 to 13 of the semester. Students are encouraged to complete each part as they progress through the Course. The main components of this assessment are:
Weighting (60%):
You may be able to apply for an extension.
Please refer to the Policies and guidelines
16/09/2024
This assessnment will involve short answer questions, data analysis and interpretation
You may be able to apply for an extension.
Please refer to the Policies and guidelines
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%) |
Please note:ﾠLearning objectives are covered across all of the assessments for the course.ﾠIn 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.
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.
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:ﾠ
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.ﾠ
Before submitted any assignments for this course you must ensure you have completed UQ’sﾠcompulsory onlineﾠAcademic Integrity Tutorial.
When you successfully submit your assessment, you need to manually download your receipt and keep a copy as proof of submission as Turnitin no longer automatically emails students a receipt when an assignment is uploaded.ﾠ 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:
ﾠ
Re-mark:
Students are able to request a re-mark if they have valid reasons for disputing a mark awarded. The student must first seek and receive feedback from the course coordinator and then complete a Request via my.UQﾠoutlining their case. If a re-mark is approved, in all cases, the re-mark replaces the original mark, which could lead to marks and/or final grade going up, down, or remaining the same.ﾠ
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.
Find the required and recommended resources for this course on the UQ Library website.
You'll need to have your own copy of the following reading resources. We've indicated below if you need a personal copy of the reading materials or your own item.
| Item | Description |
|---|---|
| Website | Install R First |
| Website | Install R Commander next |
Laptop Requirement:
Lecture and Tutorial Materials:
Required Readings:
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
| Learning period | Activity type | Topic |
|---|---|---|
Week 1 (22 Jul - 28 Jul) |
General contact hours |
Exploring Health Data Variables and Distributions; Summary Statistics and Graphs of individual health related variables Learning outcomes: L02, L03 |
Week 2 (29 Jul - 04 Aug) |
General contact hours |
Exploring Health Data Relationships Using two-way tables, scatterplots, correlation, regression for exploring health data Learning outcomes: L02, L03 |
Week 3 (05 Aug - 11 Aug) |
General contact hours |
Producing data Sampling and experiments Learning outcomes: L01, L02, L03 |
Week 5 (19 Aug - 25 Aug) |
General contact hours |
Statistical Inference Confidence intervals and hypothesis tests Learning outcomes: L01, L04 |
Week 6 (26 Aug - 01 Sep) |
General contact hours |
Inference in practice Interpretation of confidence intervals and tests of statistical significance; cautions; sample size requirements Learning outcomes: L04, L05 |
Week 7 (02 Sep - 08 Sep) |
General contact hours |
Inference - quantitative variables One and two-sample t tests and confidence intervals Learning outcomes: L04, L05 |
Week 8 (09 Sep - 15 Sep) |
General contact hours |
Inference - proportions Statistical inference about proportions for one and two samples Learning outcomes: L04, L05 |
Week 9 (16 Sep - 22 Sep) |
General contact hours |
Inference - two categorical variables Chi-squared test for Two-Way Tables Learning outcomes: L04, L05 |
Week 10 (30 Sep - 06 Oct) |
General contact hours |
Means and Regression inference Comparing several means and inference for Regression build on week 2 materials Learning outcomes: L04, L05 |
Week 11 (07 Oct - 13 Oct) |
General contact hours |
Presenting Biostatistical Results Learning outcomes: L01, L02, L03, L04, L05 |
Week 12 (14 Oct - 20 Oct) |
General contact hours |
Course Review Learning outcomes: L01, L02, L03, L04, L05 |
Week 13 (21 Oct - 27 Oct) |
General contact hours |
Communicating to lay audiences Learning outcomes: L01, L02, L05 |
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.
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/node/218/1
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 for Disability (SAPD) 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 SAPD, 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?p=1#1 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 ECP 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.
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 Electronic Course Profile (ECP) 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:
Medical documentation may be subjected to an audit by the University.
School of Public Health (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.