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Unit of study_

PUBH5213: Survival Analysis

2020 unit information

During this unit, students learn 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 for those who do not experience the event of interest. This unit covers: Kaplan-Meier life tables; logrank test to compare two or more groups; Cox's proportional hazards regression model; checking the proportional hazards assumption; and sample size calculations for survival studies. For each topic, participants are given materials to read beforehand. This is followed by a lecture, then participants are given a small number of exercise to do for the following week. These exercises are discussed in the tutorial at the next session before moving on to the next topic. That is, in most weeks the first hour is a tutorial, followed by the lecture given in the second hour. Participants are expected to run SAS programs in their own time. Preparation time for each session is 2-3 hours. The assignments both involve use of SAS to analyse survival data sets.

Unit details and rules

Managing faculty or University school:

Public Health

Code PUBH5213
Academic unit Public Health
Credit points 2
Assumed knowledge:

The learning outcomes for this unit will be available two weeks before the first day of teaching.

Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

There are no availabilities for this year.
Session MoA ?  Location Outline ? 
Semester 2 Early B 2020
Online Camperdown/Darlington, Sydney
Outline unavailable

Modes of attendance (MoA)

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Important enrolment information

Departmental permission requirements

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