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STA 207

— Statistical Methods for Research II

(4 units)

This version has ended; see updated course, below. Course Description: Linear and nonlinear statistical models emphasis on concepts, methods/data analysis using professional level software. Topics include linear mixed models, repeated measures, generalized linear models, model selection, analysis of missing data, and multiple testing procedures.

Topics

Topics explicitly listed in official catalogue description

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Linear and nonlinear statistical models emphasis on concepts, methods/data analysis using professional level software. Topics include linear mixed models, repeated measures, generalized linear models, model selection, analysis of missing data, and multiple testing procedures. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Grade Mode: Letter. STA 207 — Statistical Methods for Research II (4 units) Course Description: Linear and nonlinear statistical models emphasis on concepts, methods/data analysis using professional level software. Topics include linear mixed models, repeated measures, generalized linear models, model selection, analysis of missing data, and multiple testing procedures. Prerequisite(s): STA 206 ; knowledge of vectors and matrices. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics and Biostatistics graduate students; Pass Two restricted to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Grade Mode: Letter. STA 207 — Statistical Methods for Research II (4 units) Course Description: Linear and nonlinear statistical models emphasis on concepts, methods/data analysis using professional level software. Topics include linear mixed models, repeated measures, generalized linear models, model selection, analysis of missing data, and multiple testing procedures. Prerequisite(s): STA 206 ; knowledge of vectors and matrices. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics and Biostatistics graduate students; Pass Two restricted to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027.

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