Survival Analysis

Subject POPH90122 (2016)

Note: This is an archived Handbook entry from 2016.

Credit Points: 12.5
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2016:

Semester 1, Parkville - Taught online/distance.
Pre-teaching Period Start not applicable
Teaching Period 29-Feb-2016 to 29-May-2016
Assessment Period End 24-Jun-2016
Last date to Self-Enrol 11-Mar-2016
Census Date 31-Mar-2016
Last date to Withdraw without fail 06-May-2016


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: None
Total Time Commitment:

170 hours
Prerequisites:
  • POPH90014 Epidemiology 1 OR POPH90016 Epidemiology
  • POPH90148 Probability and Distribution Theory
  • MAST90100 Inference Methods in Biostatistics OR POPH90017 Principles of Statistical Inference
  • MAST90102 Linear Regression OR POPH90120 Linear Models
Corequisites:

None
Recommended Background Knowledge:

None
Non Allowed Subjects:

None
Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.
The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website.

Coordinator

Prof John Carlin

Contact

john.carlin@unimelb.edu.au

Melbourne School of Population and Global Health

OR

Currently enrolled students:

Future Students:

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.
Learning Outcomes:

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, 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)
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: http://www.mspgh.unimelb.edu.au
Notes:

This subject is not available in the Master of Public Health.
Related Course(s): Graduate Certificate in Biostatistics
Graduate Diploma in Biostatistics
Master of Biostatistics
Postgraduate Diploma in Biostatistics

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