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 2021 in Semester 1 and Semester 2 at Alfred Hospital. It needs EPM5002, EPM5014 and MPH5040 and unlocks 8 units.

Credit points
6
Offered in 2021
Semester 1, Semester 2
Alfred Hospital
Assessment
No exam
2 tasks

The 2027 handbook has no page for EPM5004. This is its 2021 entry, the latest one.

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Requisites

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 2021

Teaching periodCampusMode
First semesterAlfred HospitalDe
Second semesterAlfred HospitalDe

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. 1

    Understand the major theoretical and computational issues underlying analyses based on linear models.

  2. 2

    Develop appropriate regression modelling strategies based on unit matter considerations, including choice of models, control for confounding and appropriate parameterisation.

  3. 3

    Be proficient at using a statistical software package (e.g. Strata) to perform multiple regression and analysis of variance.

  4. 4

    Understand the construction, use and interpretation of regression modelling diagnostics.

  5. 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. 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
Professor Stephane Heritier
Chief Examiners
Professor Stephane Heritier

Common questions

What are the prerequisites for EPM5004?

You need EPM5002, EPM5014 and MPH5040 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 2021, 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