UnitLevel 5Postgraduate

EPM5004 Linear models

Faculty of Medicine, Nursing and Health Sciences

EPM5004 Linear models is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2020 in Semester 1 and Semester 2 at Alfred Hospital. It needs EPM5014, MPH5040 and EPM5002 and unlocks 8 units.

Credit points: 6
Offered in 2020: Semester 1, Semester 2; Alfred Hospital
Assessment: No exam; 2 tasks

This is the 2020 handbook entry. See the 2021 entry.

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Requisites

Before EPM5004

Prerequisites

Pass these before you enrol.

All of

Corequisites

Pass these before, or take them in the same semester.

EPM5003Principles of statistical inferenceNo reviews yet

After EPM5004

8 units list EPM5004 as a prerequisite or corequisite.

Enrolment rules

Prohibition: This unit is only available to students enrolled in the Graduate Certificate, Graduate Diploma or Masters of Biostatistics.

Overview

This unit explores biostatistical applications of linear models with an emphasis on underlying theoretical and computational issues, practical interpretation and communication of results. By a series of case studies, students explore extensions of methods for group comparisons of means (t-tests and analysis of variance) to adjust for confounding and to assess effect modification/interaction, together with the development of associated inference procedures. Multiple regression strategies and model selection issues will be presented together with model checking and diagnostics. Nonparametric regression techniques, and random effects and variance components models will also be outlined.

Offerings in 2020

Teaching period	Campus	Mode
First semester	Alfred Hospital	De
Second semester	Alfred Hospital	De

Assessment

2 x Written assignments (30% each)
60%
Practical exercisesThreshold hurdle
40%

Learning outcomes

When you finish this unit, you should be able to:

1
Understand the major theoretical and computational issues underlying analyses based on linear models.
2
Develop appropriate regression modelling strategies based on unit matter considerations, including choice of models, control for confounding and appropriate parameterisation.
3
Be proficient at using a statistical software package (e.g. Strata) to perform multiple regression and analysis of variance.
4
Understand the construction, use and interpretation of regression modelling diagnostics.
5
Express the results of statistical analyses of linear models in language suitable for communication to medical investigators or publication in biomedical or epidemiological journal articles.
6
Appreciate the role of modern techniques including non-parametric smoothing and variance components models.

Learning resources

Required resources

See Moodle for details about required resources.

Contacts

Unit Coordinators: Associate Professor Stephane Heritier
Chief Examiners: Associate Professor Stephane Heritier

Common questions

What are the prerequisites for EPM5004?

You need EPM5014, MPH5040 and EPM5002 before you enrol; and EPM5003 before or alongside it. Enrolment rules also apply.

What can I take after EPM5004?

EPM5004 is a prerequisite or corequisite for 8 units, including EPM5006, EPM5008, EPM5009, EPM5010, EPM5011 and EPM5012.

When is EPM5004 offered?

In 2020, EPM5004 runs in Semester 1 and Semester 2 at Alfred Hospital.

Does EPM5004 have an exam?

No. EPM5004 has 2 assessment tasks and no exam.

More details

Credit points: 6
Level: 5
Study level: Postgraduate
Faculty: Faculty of Medicine, Nursing and Health Sciences
Organisational unit: Department of Epidemiology and Preventive Medicine

Type: Coursework
EFTSL: 0.125
Student contribution: SCA Band 2
Study abroad: Not available
Handbook years: 20202021