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STAT504 Advanced Topic in Statistics D (Mixed Models)

Credit Points 6
Offering
Responsible Campus Teaching Period Mode of Study
Armidale Trimester 2 Off Campus
Intensive School(s) None
Supervised Exam There is no UNE Supervised Examination.
Pre-requisites candidature in a postgraduate award and permission of head of school
Co-requisites None
Restrictions None
Notes None
Combined Units None
Coordinator(s) Robert Murison (rmurison@une.edu.au)
Unit Description

Generalized linear mixed models. Theory and practice of mixed models including design, longitudinal data, GLMMs and GEE's. Statistical packages R and ASREML will be used.

Materials Textbook information will be displayed approximately 8 weeks prior to the commencement of the teaching period. Please note that textbook requirements may vary from one teaching period to the next.
Disclaimer Unit information may be subject to change prior to commencement of the teaching period.
Assessment Assessment information will be published prior to commencement of the teaching period.
Learning Outcomes (LO) Upon completion of this unit, students will be able to:
  1. recognise the types of data that can be represented as a mixed model with orthogonal components for the fixed and random components;
  2. use exploratory data analysis to gauge systematic and random components in a data set;
  3. familiarise oneself with the statistical theory of mixed models;
  4. be proficient with formulating mixed models and analysing these;
  5. understand extensions to the Linear Mixed model in diverse data types;
  6. learn to write explanations of the model and interpret the results in the context of the original problem.

Graduate Attributes (GA)
Attribute Taught Assessed Practised
1 Knowledge of a Discipline
Knowledge of the discipline is imparted by lecture, on-line material and by notes, and it is assessed by practical computer workshops, tutorials, as well as by written assignments and written examination.
True True True
2 Communication Skills
Communication skills are addressed primarily in the tutorial but are assessed in the quality of written work, where typeset assignment solutions are required. These skills are also tested in the computer practical sessions.
True True True
3 Global Perspectives
The historical and modern development of modern data analysis methods is mainly addressed in the lecture stream of this unit.
True True True
4 Information Literacy
All students doing this unit are required to submit assignment solutions using a mathematical typesetting package.
True True True
5 Life-Long Learning
The content of this unit will need to be used immediately by all students who wish to pursue a career in statistics or its application.
True True True
6 Problem Solving
As this is essentially the reason for statistics being a discipline, problem solving is not only covered in lectures, but forms the basis of tutorials, practical and assignment activities.
True True True
   

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