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Institution:
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Old Dominion University
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Subject:
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Description:
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Lecture 3 hours; 3 credits. Prerequisite: A grade of C or better in STAT 431/531. Suggested corequisite: STAT 405/505. Topics include general linear models, the weighted least squares (WLS), the maximum likelihood (ML), the restricted maximum likelihood (REML) methods of estimation, analysis of continuous response repeated measures data, parametric models for covariance structure, general estimating equations (GEE) and quasi least squares (QLS), models for discrete longitudinal data: marginal, random effects, and transition models. Limitations of existing approaches will be discussed. Emphasis will be on the application of these tools to data related to the biological and health sciences. Methods will be implemented using statistical software.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(757) 683-3000
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Regional Accreditation:
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Southern Association of Colleges and Schools
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Calendar System:
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Semester
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