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Survival Analysis (POPH90122)
Graduate courseworkPoints: 12.5Online
To learn more, visit 2023 Course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Melbourne School of Population and Global Health
OR
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Email: Contact Stop 1
Future Students:
- Further Information: https://study.unimelb.edu.au/
Overview
Availability | Semester 1 - Online |
---|---|
Fees | Look up fees |
Topics include: Kaplan-Meier life tables; logrank test to compare two or more groups; Cox's proportional hazards regression model; checking the proportional hazards assumption; time-dependent covariates; sample size calculations for survival studies.
Intended learning outcomes
On completion of this subject, students should be able to:
- To enable students to analyse data from studies in which individuals are followed up until a particular event occurs, e.g. death, cure, relapse, making use of follow-up data also for those who do not experience the event, with proper attention to underlying assumptions and a major emphasis on the practical interpretation and communication of results.
Generic skills
Independent problem solving, facility with abstract reasoning, clarity of written expression, sound communication of technical concepts
Last updated: 10 November 2023
Eligibility and requirements
Prerequisites
All of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST90100 | Probability & Inference in Biostatistics | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
MAST90102 | Foundations of Regression | July (Dual-Delivery - Parkville) |
12.5 |
POPH90014 | Epidemiology 1 |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Online)
|
12.5 |
POPH90014
MAST90100
MAST90102
Corequisites
None
Non-allowed subjects
Students who have already completed MAST90099 Advanced Regression in 2021 or earlier will not be allowed to enrol in this subject as the material covered is being taught in MAST90099.
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST90099 | Advanced Regression | September (Dual-Delivery - Parkville) |
12.5 |
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 10 November 2023
Assessment
Description | Timing | Percentage |
---|---|---|
Written assignment 1
| Week 4 | 30% |
Written Assignment 2
| Week 8 | 40% |
Written Assignment 3
| Week 12 | 30% |
Last updated: 10 November 2023
Dates & times
- Semester 1 - Online
Principal coordinator John Carlin Mode of delivery Online Contact hours None Total time commitment 170 hours Teaching period 27 February 2023 to 28 May 2023 Last self-enrol date 10 March 2023 Census date 31 March 2023 Last date to withdraw without fail 5 May 2023 Assessment period ends 23 June 2023 Semester 1 contact information
Melbourne School of Population and Global Health
OR
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Email: Contact Stop 1
Future Students:
- Further Information: https://study.unimelb.edu.au/
Time commitment details
170 hours
Last updated: 10 November 2023
Further information
- Texts
Prescribed texts
Hosmer D W, Lemeshow S, May S. Applied Survival Analysis: Regression Modeling of time to event data.
2nd Edition. Wiley Interscience 2008. (ISBN 978-0-471-75499-2)Special Computer Requirements: Stata statistical software
Resources Provided to Students: Printed course notes and assignment material by mail, email, and online interaction facilities.
Recommended texts and other resources
Cleves M, Gould W, Gutierrez R, Marchenko Y. An Introduction to Survival Analysis Using Stata, 3rd edition, 2010. Stata Press
Stata Press - http://survey-design.com.au/(ISBN 978-1-881228-84-4)
- Subject notes
This subject is delivered online via our partners in the Biostatistics Collaboration of Australia (www.bca.edu.au). It is not generally available in the Master of Public Health nor in any program outside the MSPGH.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Biostatistics Course Graduate Diploma in Biostatistics - Links to additional information
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 10 November 2023