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unitinfo
This page provides helpful information about many coursework units offered by
Computer Science and Software Engineering
in 2023.
The information here is not official -
for official information please see the
current UWA Handbook.
Instead, it will help students to prepare for their future units,
before the beginning of each semester,
and before they have access to
UWA's
Learning Management System (LMS).
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About the unit STAT4065 Multilevel and Mixed-Effects Modelling (1st semester 2023)
Unit description:
This unit examines the analysis of complex correlated data with a time series and a linear mixed model approach. Longitudinal (or repeated measures) data, clustered data and data from complex experimental designs are utilised to develop and describe methodology, and describe analyses approaches. The unit focuses on recognising data with these structures and identifying appropriate models to fit. It also addresses how to carry out such analyses using modern statistical techniques and packages, utilising real-world examples from many disciplines such as science (e.g. agricultural, biological, environmental, medical and physical), social sciences and finance.
Unit outcomes:
Students are able to (1) apply appropriate techniques from the above topics to real world data and communicate results in a logical and coherent fashion; (2) fit models to their data using modern statistical techniques and packages; (3) critically assess fitted models; and (4) interpret and communicate results of analysis of complex correlated data.
Unit coordinator:
Unit homepage:
LMS
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Unit is offered in these majors and courses:
Indicative weekly topics:
| week 1 |
Introduction and Matrix Algebra |
| week 2 |
Linear Models for Independent Observations: Homogenous and Heterogenous Variances |
| week 3 |
Linear Fixed-Effects Models for Clustered Data |
| week 4 |
Model Diagonistics |
| week 5 |
Three Level Models for Clustered Data |
| week 6 |
Estimating LMMs and Intraclass Correlation |
| week 7 |
Models for Repeated Measures |
| week 8 |
Models for Longitudinal Data |
| week 9 |
Models for Longitudinal Data (ctd) |
| week 10 |
Introduction to Time Series |
| week 11 |
Further Time Series Models |
| week 12 |
Final Exam in Week 12 in the Lab |
Indicative assessment:
Lab Work, Lab-based Tests, Assignments and Final Exam
Useful prior programming and software experience:
Operating system(s) used in this unit:
Different units will use different operating systems for their teaching - for in-class examples, laboratory exercises, and programming projects.
If an operating system is REQUIRED, it will be used when marking assessments.
ANY reasonable platform
This information last updated 4:54pm Wed 19th Apr 2023
