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Survival Analysis & Regression for Rates (POPH90145)
Graduate courseworkPoints: 12.5On Campus (Parkville)
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: MSPGH Website
- Email: Enquiry Form
Overview
Availability | September |
---|---|
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: 3 November 2022
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
POPH90144 | Linear & Logistic Regression | August (On Campus - Parkville) |
12.5 |
This subject can be taken concurrently
AND Either
POPH90142 POPH90143
OR
Code | Name | Teaching period | Credit Points |
---|---|---|---|
POPH90013 | Biostatistics | Semester 1 (On Campus - Parkville) |
12.5 |
POPH90014 | Epidemiology 1 | Semester 1 (On Campus - Parkville) |
12.5 |
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: 3 November 2022
Assessment
Additional details
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 (30%), a written assignment of not more than 10 pages due about one week after the intensive delivery period (40%) and a 1.5-hour open-book examination (administered by the School) to be held during the examination period at the end of semester 2 (30%).
Last updated: 3 November 2022
Dates & times
- September
Principal coordinator Elasma Milanzi Mode of delivery On Campus (Parkville) Contact hours 30 hours Total time commitment 170 hours Teaching period 12 September 2019 to 31 October 2019 Last self-enrol date 23 September 2019 Census date 4 October 2019 Last date to withdraw without fail 11 October 2019 Assessment period ends 31 October 2019 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: MSPGH Website
- Email: Enquiry Form
Time commitment details
170 hours
Last updated: 3 November 2022
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 Public Health Course Master of Science (Epidemiology) Informal specialisation Epidemiology and Biostatistics Major Environment and Public Health Major Public Health Major Tailored Specialisation Major Tailored Specialisation 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: 3 November 2022