Categories: Advanced Diploma in Biostatistics and Computing
      Date: Mar 21, 2016
     Title: Multivariate Analysis


The main objective of this course is on the application of multivariate statistical methodologies to research data. The topics include multivariate normal distribution; its properties and inference; multivariate analysis of variance (MANOVA), analysis of covariance (MANCOVA) and multivariate regression; multivariate models for repeated measures analysis; principal component analysis, factor analysis, discriminant analysis, cluster analysis and structural equation modeling.

This is an advanced course in multivariate statistical analysis methodology with applications. The choice of statistical software is Statistical Analysis Software (SAS). There will be an extensive use of SAS’s Interactive Matrix Language (IML) procedure as well as procedures such as PRINCOMP, FACTOR, CALIS, DISCRIM in this course.


Learning Outcomes

After the completion of the course, participants will be able to

Topics of Study

The course focuses on the following statistical methodologies with an introduction to matrix algebra:

Course ID: QI-BIO-203
Date: For May 2017 - Sept 2017 classes, in NJ, USA/Bangalore, India (depending on no. of students): By Arrangement with Instructor(s)
Duration: 5 days intensive In-Class Training; 2 days Instructor in Classroom to assist students complete assignments
Location: New Jersey, USA and Bangalore, India (depending on no. of students)
Dates: Class Lecture: By Arrangement with Instructor(s)
For Registration/Pricing, call:: Please call our office in New Jersey at 609-454-5635 or email us at for pricing/registration