Biostatistics 235 -- Regression and Analysis Of Variance
Course Description: An advanced course in linear models - regression and analysis of variance. Estimation (maximum likelihood and least squares) and inference (confidence intervals, hypothesis testing, analysis of residuals) are presented from a theoretical and data analysis perspective.

This class is at the Graduate level
Instructor: Marvin Zelen (Public Health)
Prerequisites: Biostatistics 230 and Biostatistics 232. Background in matrix algebra and linear regression required.

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