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----- 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 ____________________________________________________________________________ _ 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/