----- Original Message -----
From: "Kellie Watkins" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Thursday, May 16, 2002 8:41 AM
Subject: COURSES: Multivariate Analysis, Repeated Measurements


Announcing the following courses taking place at the Statistical Services
Centre, The University of Reading, in mid-June.  For further enquiries
and/or to register email [log in to unmask]  Course details
and an application form are also available on our website - view "short
courses" on http://www.reading.ac.uk/ssc/ and follow the links.


Multivariate Analysis
10 - 11 June

Multivariate Analysis is concerned with methods of analysing data that
consists of observations on two or more variables for each individual or
unit. Multivariate data will generally be correlated, and a wide variety of
techniques are available to analyse these data.
During this course commonly used multivariate techiques will be introduced
and developed, and relationships between them examined. Principles will be
illustrated using the SAS computer package, the emphasis being on the
interpretation of results.

Course content
This is a "mix and match" course of multivariate topics where participants
can attend as many half-day modules as they wish.

  a.. Module 1: Principal components analysis; factor analysis
  b.. Module 2: Clustering analysis; scaling methods
  c.. Module 3: Canonical variates analysis; discriminant analysis
  d.. Module 4: Multivariate hypothesis testing; MANOVA

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Repeated Measurements Analysis
12 - 14 June
In a repeated measurements experiment a sequence of observations is
collected for each subject or unit. This raises certain complexities in
terms of the analysis of the data. First of all, the comparison of
treatments is now in terms of a profile of responses over a period of time,
rather than just one single response variable. Secondly the observations are
likely to be correlated over time rendering conventional statistical methods
inappropriate.

During this course the main types of analysis, from simple methods to
complex modelling, are explored and compared. The approach is a practical
one and SAS software will be used in lectures and hands-on computer
practicals to illustrate the techniques.

Course content

  a.. Summary statistics
  b.. Split-plot-in-time ANOVA
  c.. Repeated measurements MANOVA
  d.. Ante-dependence analysis
  e.. Mixed models and REML for repeated measurements; fixed effects models
and covariance structures
  f.. Random regression coefficient models
  g.. Dealing with categorical data





Statistical Services Centre
The University of Reading
Harry Pitt Building
Whiteknights Road
Reading
RG6 6FN
UK

http://www.rdg.ac.uk/ssc/