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Sep 27, 2024
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STAT 8630 - Applied Linear Models
This course will cover simple linear regresssion with extension to multiple linear regression models including model selection, validation, diagnostics and remedial measures. Additionally, one-way analysis of variance (ANOVA), multiple treatment comparisons, factorial ANOVA, randomized complete-block designs, analysis of covariance (ANCOVA), ANOVA with unbalanced data, fixed-/random-/mixed-effect models, repeated-measures designs, and nested designs. SAS will be used for applying these methods to biomedical data.
Grade Mode: Normal, Audit
Prerequisites: STAT8110 and STAT8510 and STAT8520
Credit Hours: 3
Lecture Hours: 3
Click here for the Schedule of Classes.
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