Survival Analysis

Subject POPH90122 (2010)

Note: This is an archived Handbook entry from 2010.

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2010:

Semester 1, Parkville - Taught online/distance.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: None
Total Time Commitment: 8 - 12 hours total study time per week
Prerequisites: -
Study Period Commencement:
Credit Points:
Semester 1, Semester 2
Semester 1, Semester 2
Semester 1, Semester 2
Semester 2
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects: None
Core Participation Requirements: None


Prof John Carlin


Dr Ken Beath, Macquarie University
Biostatistics Collaboration of Australia


Academic Programs Office
Melbourne School of Population Health
Tel: +61 3 8344 9339
Fax: +61 3 8344 0824

Subject Overview:

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.

Objectives: 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.
Assessment: Three written assignments to be submitted during semester worth 22% each (approx 8 hrs work each).
Online participation worth 8% (approx 6 hrs work)
One at-home examination at the end of Semester (26%, approx 10 hrs)
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:

Cleves M, Gould W, Gutierrez R. An Introduction to Survival Analysis Using Stata, 2004.

Stata Press - (ISBN 978-1-881228-84-4)

Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

Independent problem solving, facility with abstract reasoning, clarity of written expression, sound communication of technical concepts

Links to further information:

This subject is not available in the Master of Public Health.

Related Course(s): Master of Biostatistics
Postgraduate Certificate in Biostatistics
Postgraduate Diploma in Biostatistics

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