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Survival Analysis & Regression for Rates (POPH90145)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
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
September
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 | September - Dual-Delivery |
---|---|
Fees | Look up fees |
This subject presents methods for the analysis of data where outcome events occur over time, particularly in the context of a cohort study or more general longitudinal designs. It starts with the estimation of constant rates and two-group comparison of rates using the rate ratio, and progresses to the use of life tables and the Kaplan-Meier procedures to estimate a survival curve when rates are not assumed to be constant over time and (possibly right-censored) time-to-event data are available. Much of the subject is devoted to studying Poisson and proportional hazards (Cox) regression methods that allow adjustment for confounding variables when comparing rates between two or more primary exposure groups. Emphasis is on practical application and interpretation of results in the context of standard epidemiological study designs and particularly longitudinal studies. Practical work estimating rates and fitting models to data will use the statistical package Stata.
Intended learning outcomes
On completion of this subject, students are expected to be able to:
- Calculate a rate using time-to-event data and compare rates between groups (and draw appropriate inferences)
- Implement the life table and Kaplan-Meier procedures for estimating survival curves both manually and with the use of a computer.
- Describe the role of regression modelling of rates in epidemiology, particularly in the context of cohort and other longitudinal studies
- Demonstrate practical skills in fitting and interpreting regression models for events over time (Poisson and Cox regression models) in the statistical computing package Stata
- Recognise that the proportional hazards (Cox) regression model is a special case of both Poisson regression (for rates) and conditional logistic regression (for matched case-control sets).
Generic skills
At the completion of this subject, students will have developed skills in:
- Critical thinking and analysis
- Finding, evaluating and using relevant information
- Problem-solving
- Written communication
- Using computers
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
Note: the following subject/s can also be taken concurrently (at the same time)
Code | Name | Teaching period | Credit Points |
---|---|---|---|
POPH90144 | Regression Methods in Health Research | July (Dual-Delivery - Parkville) |
12.5 |
AND
All of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
POPH90013 | Biostatistics |
Semester 1 (Online)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
POPH90014 | Epidemiology 1 |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Online)
|
12.5 |
OR
POPH90142 Epidemiology & Analytic Methods 1 POPH90143 Epidemiology & Analytic Methods 2
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Special computer skills required: Students are expected to have experience using the Stata statistical package for multivariable regression models (i.e. single outcome but multiple exposure variable).
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: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
A written assignment (involving calculations and diagrams) of not more than 8 pages due at the start of the 4th week of the delivery period
| Week 4 | 30% |
A written assignment of not more than 10 pages due about one week after the intensive delivery period
| 1 Weeks after the end of teaching | 40% |
An open-book examination (administered by the School)
| To be held during the examination period at the end of semester 2 | 30% |
Last updated: 31 January 2024
Dates & times
- September
Coordinator Enes Makalic Mode of delivery Dual-Delivery (Parkville) Contact hours 30 hours Total time commitment 170 hours Teaching period 7 September 2023 to 26 October 2023 Last self-enrol date 18 September 2023 Census date 22 September 2023 Last date to withdraw without fail 6 October 2023 Assessment period ends 26 October 2023 September 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
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
BR Kirkwood and JAC Sterne, Essential Medical Statistics Second Edition, Blackwell Science, 2003.
Recommended texts and other resources
- Subject notes
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Epidemiology Course Master of Science (Epidemiology) Course Master of Public Health Major Public Health Major Tailored Specialisation Major Tailored Specialisation Informal specialisation Epidemiology and Biostatistics Major Environment and Public Health Major Tailored Specialisation - Links to additional information
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further 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: 31 January 2024