STAT 673 - Statistical Methods for Longitudinal Data Analysis

Institution:

George Mason University

Subject:

Description:

Credits: 3 Presents modern statistical approaches to the analysis of longitudinal data, i.e., data collected repeatedly on experimental units over time (or other conditions). Topics include linear mixed effects models, generalized linear models for correlated data (including generalized estimating equations), and computational issues and methods for fitting models. Prerequisites STAT 544, STAT 656, and working knowledge of a statistical software package. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered AS

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.gmu.edu

Phone Number:

(703) 993-1000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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