JSM 2004 - Toronto

Abstract #301045

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2004 Program page
Activity Number: 233
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 12:00 PM to 1:50 PM
Sponsor: ENAR
Abstract - #301045
Title: Comparing Statistical Software for Linear Mixed Models
Author(s): Brady T. West*+ and Brenda W. Gillespie and Kathleen B. Welch
Companies: University of Michigan and University of Michigan and University of Michigan
Address: Center for Statistical Consultation and Research, Ann Arbor, MI, 48109,
Keywords: linear mixed models ; statistical software ; analysis of correlated data ; statistical consulting
Abstract:

In the past decade, advances in statistical software have resulted in several procedures capable of fitting linear mixed models with normally distributed errors. Currently, such procedures are available in SAS, SPSS, S+/R, STATA and HLM, with each program offering a unique set of available models, options, and defaults. We compare these packages in terms of their ability to fit a variety of models, their default settings, and their options. Some options of interest include types of tests for fixed effects (F-tests, Wald tests, likelihood-ratio tests), estimates of degrees of freedom for F-tests (e.g., traditional ANOVA degrees of freedom vs. adjusted degrees of freedom such as Satterthwaite, Kenward-Roger, or Huynh-Feldt), standard error estimates (model-based vs. robust or sandwich-type), and correlation structures available for repeated measures (e.g., compound symmetry, autoregressive, unstructured, toeplitz). Examples will be presented illustrating sample output for each package, with comparisons of output using the same data. We will make recommendations on appropriate software for various settings.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2004 program

JSM 2004 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2004