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Course profile

Clinical Biostatistics (STAT7605)

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

Clinical agreement (kappa statistics, Bland-Altman method, intra class correlation); diagnostic tests (sensitivity, specificity, predictive values, ROC curves, likelihood ratio); statistical process control (special and common causes of variation, Shewhart, CUSUM and EWMA charts); systematic reviews (estimating effect, heterogeneity, publication bias), Clinical trials (equivalence trials, cross-over trials).

This course is part of the Biostatistics Collaboration of Australia. If you are not enrolled in a Biostatistics program at UQ, please contact the Program Director, Dr Michael Waller, to seek permission before enrolling.

This unit or course comprises the following four topics

  1. continuous quality improvement (statistical process control)
  2. clinical agreement
  3. diagnostic tests and systematic reviews
  4. clinical trials

These topics are important for practising biostatisticians, especially those working in clinical epidemiology or, more generally, evidence-based health care. The topics are more or less independent and not closely inter-related. Each topic is covered in a module designed to take 2-4 weeks to complete.

Course requirements

Assumed background

The course is offered as part of the Biostatistics Collaboration of Australia (BCA) program and assumes knowledge of basic statistical methods, at the level of the SPH course PUBH7630 Introduction to Biostatistics.

Prerequisites

You'll need to complete the following courses before enrolling in this one:

(STAT7601 + STAT7614) or STAT7617

Recommended prerequisites

We recommend completing the following courses before enrolling in this one:

PUBH7600 + STAT7604 + STAT7606 + STAT7618

Course contact

Course staff

Lecturer

Timetable

Additional timetable information

There are currently 5 Consortium Universities offering the program in biostatistics. You can enrol in your choice of consortium university, having regard in particular to the availability of local support and supervision. There are, however, no Australian residential requirements. You can study from home and tailor your study program to fit in with work commitments.

Aims and outcomes

The aim of this course is enable students to correctly use statistical methods of particular relevance to evidence-based health care and to advise clinicians on the application of these methods and interpretation of the results.

Learning outcomes

After successfully completing this course you should be able to:

LO1.

Continuous quality improvement - Understand and apply the concepts of Continuous Quality Improvement

LO2.

Continuous quality improvement - Use statistical software to implement Shewhart, CUSUM and EWMA charts to detect Special Causes and Common Causes of variation

LO3.

Continuous quality improvement - Understand the rationale for and be able to implement risk adjustment into CUSUM control charts

LO4.

Clinical agreement - Understand and be able to explain the concepts of validity and reliability of measurements and how agreement or consistency between 2 or more measures differ from simple correlation or regression

LO5.

Clinical agreement - Use appropriate graphical and analytical methods to assess agreement between 2 raters using continuous, nominal or ordinal category measurements

LO6.

Clinical agreement - Select, calculate and interpret appropriate linear models and intra-class correlations for simple situations involving more than 2 raters using continuous scale measurements

LO7.

Diagnostic tests - Understand the characteristics of diagnostic tests and measure their quality

LO8.

Diagnostic tests - Create a receiver operating characteristic curve for a new diagnostic test, compare 2 diagnostic tests and use likelihood ratios to interpret results of diagnostic tests

LO9.

Diagnostic tests - Estimate the probabilities of a subject being diseased or not dependent on the test result and be able to meta-analyse sensitivity, specificity and diagnostic odd ratio

LO10.

Systematic reviews - Understand the rationale for doing systematic reviews rather than traditional reviews and appropriate ways of presenting and synthesising the results of studies selected for a systematic review

LO11.

Systematic reviews - Use software to calculate summary measures of effect and heterogeneity and interpret the results for differing audiences

LO12.

Systematic reviews - Understand the common biases that affect systematic reviews and be able to implement techniques to detect them

LO13.

Clinical trials - Understand the advantages and disadvantages of using cross-over trials

LO14.

Clinical trials - Be able to conduct analysis of cross-over trials

LO15.

Clinical trials - Understand the difference between equivalence and efficacy designs

Assessment

Assessment summary

Category Assessment task Weight Due date
Paper/ Report/ Annotation Module 1 and 2 30%

3/04/2025 5:00 pm

Paper/ Report/ Annotation Module 3 35%

12/05/2025 5:00 pm

Paper/ Report/ Annotation Module 4 35%

30/05/2025 5:00 pm

Assessment details

Module 1 and 2

Mode
Written
Category
Paper/ Report/ Annotation
Weight
30%
Due date

3/04/2025 5:00 pm

Learning outcomes
L01, L02, L03, L04, L05, L06, L07, L08, L09, L10, L11, L12, L13, L14, L15

Task description

A practical exercise testing what you have learnt in modules 1 and 2.

Submission guidelines

Deferral or extension

You may be able to apply for an extension.

Extension is available for Assessment if extension application approved by school.

Please see 10. Policies & Guidelines

Late submission

Please see 10. Policies & Guidelines

Module 3

Mode
Written
Category
Paper/ Report/ Annotation
Weight
35%
Due date

12/05/2025 5:00 pm

Learning outcomes
L01, L02, L03, L04, L05, L06, L07, L08, L09, L10, L11, L12, L13, L14, L15

Task description

A practical exercise testing what you have learnt in module 3.

Submission guidelines

Deferral or extension

You may be able to apply for an extension.

Extension is available for Assessment if extension application approved by school

Please see 10. Policies & Guidelines

Late submission

Please see 10. Policies & Guidelines

Module 4

Mode
Written
Category
Paper/ Report/ Annotation
Weight
35%
Due date

30/05/2025 5:00 pm

Learning outcomes
L01, L02, L03, L04, L05, L06, L07, L08, L09, L10, L11, L12, L13, L14, L15

Task description

A practical exercise testing what you have learnt in module 4.

Submission guidelines

Deferral or extension

You may be able to apply for an extension.

Extension is available for Assessment if extension application approved by school

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

More information on this course is available from the BCA website,ᅠhttps://www.bca.edu.au/curriculum/

Supplementary assessment

Supplementary assessment is available for this course.

Additional assessment information

All assignments should be submitted via the Canvas site hosted by the University of Sydney.


Additional Information on Supplementary Assessment

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. 

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 students are provided with theᅠClinical Biostatistics study guideᅠ(provided to students on the eLearning web site, Canvas).


R or Stata is recommended, although students have successfully completed this course using SAS. Excel is also quite useful for several modules. Code and output in the module notes are given in both R and Stata, and students may choose to work in either software languages. We are not aware of any major differences between recent Stata versions (Stata 12-17) that affect the material, but minor issues will be pointed out in eLearning postings.ᅠData sets for the course are provided on the CLB eLearningᅠsite.ᅠ


A variety of resources are available for R including documentation at https://www.r-project.org/other-docs.html and various methods of getting help at https://www.r-project.org/help.html.


At UQ, the Library runs short introductory R courses. Similar courses may also be available at other universities. Short courses in Stata are also available to students. These courses are not an entry requirement for enrolment in the BCA program. However, you may find them useful as both packages are used in BCA units of study. The BCA curriculum also contains introductions to the R and Stata in the the unit, Data Management and Statistical Computing, and additional student resources are availableᅠon the BCA Canvas Site.ᅠ



SAS courses can be found at:ᅠhttp://support.sas.com/training/index.html



Stata courses can be found at: http://www.stata.com/netcourse/

Learning activities

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

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.