Indiana University Bloomington

Public Health Q602
Multivariate Statistical Analysis

Contact: Zhongxue Chen zc3@indiana.edu
Offered: Spring, Fall, Every Year
Capacity: 30
Sequence: Q601, Q603, Q611, Q612
Pre-Requisites: At least two graduate-level statistics courses with a B or higher grade
Algebra Required: Used for notation/homework.
Calculus Required: Used for notation/homework.
Contact Person for Authorization: At least a B grade in two graduate-level statistics courses
Instructor: TBD
Days Per Week Offered: Two lectures a week (M & W) and a computer lab every Friday.
Website: http://oncourse.iu.edu
Recommended follow-up classes: Multilevel modeling, structural equations modeling, categorical data analysis courses
Syllabus: No Syllabus Avaliable
Keywords: matrix algebra, data screening, multiple regression, multivariate analysis of variance, discriminant function analysis, logistic regression, principal components analysis, exploratory factor analysis, SAS.
Description: It primarily focuses on the General Linear Model (GLM) and the various forms it takes in the multivariate context. The topics include matrix algebra, data screening, multiple regression, multivariate analysis of variance, discriminant function analysis, logistic regression, principal components analysis, and exploratory factor analysis. In addition, a weekly lab session is provided where students can learn SAS program.
Substantive Orientation: Public Health, Behavioral Sciences
Statistical Orientation: ?
Applied/Theoretical: applied with explanations (not derivations) of statistical foundations.
Software: SPSS, SAS
How Software is Used: data analysis, data management
Problem Sets: Yes, most requiring analysis and interpretation of data. Also, data management/manipulation.
Data Analysis: Yes in homework and take-home portion of each exam.
Presentation: No.
Exams: Yes, there is a mid-term and a final.
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