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Linear Models (POPH90120)

Graduate courseworkPoints: 12.5Online

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Overview

Year of offer2019
Subject levelGraduate coursework
Subject codePOPH90120
Availability
Semester 1 - Online
Semester 2 - Online
FeesSubject EFTSL, Level, Discipline & Census Date

The method of least squares; regression models and related statistical inference; flexible nonparametric regression; analysis of covariance to adjust for confounding; multiple regression with matrix algebra; model construction and interpretation (use of dummy variables, parameterisation, interaction and transformations); model checking and diagnostics; regression to the mean; handling of baseline values; the analysis of variance; variance components and random effects.

Intended learning outcomes

To enable students to apply methods based on linear models to biostatistical data analysis, with proper attention to underlying assumptions and a major emphasis on the practical interpretation and communication of results.

Generic skills

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

Last updated: 3 April 2019