Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview

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, spatial 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.

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Details for undergraduate courses
  • Level 3 core unit in the Computing and Data Science; Human Sciences and Data Analytics; Statistics major sequences
  • Level 3 elective
Outcomes

Students are able to (1) understand statistical models for complex data; (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.

Assessment

Indicative assessments in this unit are as follows: (1) assignments and (2) final examination. Further information is available in the unit outline.



Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Dr Nazim Khan
Unit rules
Prerequisites
STAT2401 Analysis of Experiments
and STAT2402 Analysis of Observations
or STAT2062 Fundamentals of Probability with Applications
Incompatibility
STAT4065 Multilevel and Mixed-Effects Modelling
Contact hours
Lectures: 2-hours per week
Labs: 2-hours per week
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.