STAT4065 Multilevel and Mixed-Effects Modelling
- 6 points
If this unit does not have an online alternative, then students who are presently unable to enter Western Australia and whose studies would be delayed by an inability to complete this unit, should contact the unit coordinator (details given on this page) to ascertain, on an individual case-by-case basis, if alternate arrangements can be made to support their study in this unit.
Availability Location Mode Semester 1 UWA (Perth) Face to face Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online. Semester 1 UWA (Perth) Online timetabled 100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit includes some synchronous components, with a requirement for students to participate online at specific times.
- This unit examines the analysis of complex correlated data with a multi level or 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.
- 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.
- Indicative assessments in this unit are as follows: (1) assignments; (2) in-semester test; and (3) final examination. Further information is available in the unit outline.
Supplementary assessment is only available in this unit in the case of a student who has obtained a mark of 45 to 49 and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course
- Unit Coordinator(s)
- Dr Nazim Khan
- Unit rules
- STAT2401 Analysis of Experiments (ID 390) or STAT2402 Analysis of Observations (ID 389) or STAT3405 Introduction to Bayesian Computing and Statistics (ID 5923) or STAT4066 Bayesian Computing and Statistics (ID 6204)
- Advisable prior study:
- STAT2401 Analysis of Experiments (ID 390) and STAT2402 Analysis of Observations (ID 389)
- STAT3401 Advanced Data Analysis
- 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.
- Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.