STATS 761 Mixed Models

Below description edited in year: 2011

Points: 15

Credit: Final exam = 60%; assignments = 40%

For Advice: Patricia Metcalf (Email: p.metcalf@auckland.ac.nz | extn: 82317)

Taught: Second Semester City

Website: STATS 761 website

STATS 761 is a useful course for those contemplating a career in Medical Statistics. This course will describe statistical techniques for analysis of data from medical studies, with an emphasis on mixed modelling. This is predominantly a practical rather than theoretical course. Students will be expected to program in SAS and to be able to interpret the resulting output. Examples of SAS code will be given in the lecture notes and explained. Coursework will involve using SAS to analyse real data sets. This is predominantly a practical rather than theoretical course. Students will be expected to program in SAS and to be able to interpret the resulting output. Examples of SAS code will be given in the lecture notes and explained. Coursework will involve using SAS to analyse real data sets.

Topics studied include: Use of SAS for analysing medical data, with applications in epidemiology. Analysis of multicentre trials (random effects models), repeated measures data (covariance pattern and random coefficient models). Use of generalized linear models in medical statistics.

Disclaimer:
Although every reasonable effort is made to ensure accuracy, this information for the course year (2012), is provided as a general guide only for students and is subject to alteration. All students enrolling at the University of Auckland must consult its official document, the University of Auckland Calendar, to ensure that they are aware of and comply with all regulations, requirements and policies.