Advanced Methods in Biostatistics 2 (140.752) - Notes

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Chapter 1: Introduction
Chapter 2: Review of linear algebra and matrices
Chapter 3: Random vectors
Chapter 4: The multivariate normal distribution and distributions of quadratic forms
Chapter 5: Least squares estimation
Chapter 6: Properties of least squares estimates
Chapter 7: Design matrices of less than full rank
Chapter 8: Orthogonal structure in the design matrix
Chapter 9: Generalized least squares
Chapter 10: Estimable functions
Chapter 11: Hypothesis testing

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