Multivariate Methods in Medical Research and Health Surveys

10 Units

This course provides an overview of basic multivariate methods used in medical statistics and complex health surveys.

Faculty Faculty of Health and Medicine
School School of Medicine and Public Health
Availability Semester 2 - 2017 (WebLearn GradSchool)
Learning Outcomes

On successful completion of this course, students will be able to:

  1. Understand the multivariate normal distribution and its application in medical research and health surveys
  2. Perform basic analysis of multivariate outcomes using SAS software;
  3. Perform multidimensional variable reduction using principal components;
  4. Analyse and interpret multiple end point repeated measure models;
  5. Interpret and write up results from a series of case studies involving multivariate outcomes.

Topics covered in this course will include multivariate normal distribution, principle axis theorem, Wishart distribution, Hotelling’s t-test, MANOVA, Principle Components Analysis (PCA), cluster analysis, factor analysis, multivariate repeated measures, and multivariate failure time models (Wei, Lin and Weissfeld).




  • Must be enrolled in Graduate Diploma of Medical Biostatistics or Master of Medical Statistics to enrol in this course. Pre or Co requisites: must have successfully completed BIOS6040, or be concurrently enrolled in BIOS6040.
Assessment Items
  • Written Assignment: Essays / Written Assignments

Contact Hours

WebLearn GradSchool

Self-Directed Learning

Self-Directed 6 hour(s) per Week for Full Term
Suggest 8-12 hours time commitment per week (guide only).

Timetable 2017 Course Timetables for BIOS6080
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