JSM 2003 Online Program

JSM Activity #CE2003_32T

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend: = Applied Session, = Theme Session, = Presenter Hotels: H = Hilton San Francisco, R = Reniassance Parc Hotel 55, N = Nikko San Francisco		Add To My Program
CE2003_32T	Wed, 8/6/03, 1:00 PM - 3:00 PM	N-Carmel Room I
Linear Mixed Models in SPSS - Continuing Ed
ASA
Instructor(s): Wai-Tung Ho, SPSS, Inc.
Linear mixed model is a general data analysis framework encompasses statistical methods like variance components analysis, repeated measure analysis, random coefficients model, growth curve model and multilevel model. MIXED is a new procedure introduced in SPSS 11.0 that can be used to fit a wide class of linear mixed model. This workshop aims at helping attendees to understand and use the MIXED and other procedures such as GLM and VARCOMP. Topics cover inferences on fixed and random effects, covariance structure selection, predictions and model diagnostics. Each topic will accompany with numerical examples done using SPSS. Attendees are expected to have basic knowledge in regression and ANOVA. Experience in mixed model is desirable but not required. Fee: Everyone - $50.00