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- Hakmook Kang, PhD, Assistant Professor of Biostatistics
- hakmook [dot] kang [at] vanderbilt [dot] edu
- 11114 at 2525 WEA
- 615-343-1906

- Lectures: Tuesday and Thursday 10:30-11:45am, 2525 WEA
- Lab: Fri:11am-12pm, 2525 WEA
- Office hours: Tuesday and Thursday 12:00-1:00 pm
- Course webpage: http://www.vanderbilt.edu/oak/ (access to enrolled students only)

- Required
- Rencher A.C., Schaalje, G.B,
*Linear Models in Statistics*, Second Edition. John Wiley & Sons, 2008

- Rencher A.C., Schaalje, G.B,
- Optional
- Dobson, A.J., Barnett A.G,
*An Introduction to Generalized Linear Models*, Third Edition. Chapman & Hall/CRC 2008. - McCullagh P. and Nelder J.A.
*Generalized Linear Models,*2nd Edition. Chapman and Hall / CRC Monographs on Statistics and Applied Probability, 1989. - Searle, S.R.
*Linear Models*John Wiley & Sons, 1971.

- Dobson, A.J., Barnett A.G,

- Understand the theory of the classical linear model, including estimation and hypothesis testing in full rank and less than full-rank (ANOVA) models
- Understand how the theory relates to applications of the linear model
- Understand the theory and application of Bayesian linear models
- Understand the theory of the exponential family of distribution
- Understand the theory and application of generalized linear (regression) models, including logistic and poisson regression
- Understand Bayesian methods for generalized linear models and computational strategies for model fitting
- Formulate scientific questions involving continuous or categorical response data as regression problems

- Matrix algebra review
- Multivariate normal distributions, non-central distributions, quadratic forms
- Linear model full rank estimation: Least squares, maximum likelihood, generalized least squares
- Linear model full rank inference: nested hypotheses, linear hypotheses, confidence intervals
- Linear model less than full rank models: estimation, hypothesis testing
- Sums of squares
- Exponential family & generalized linear models (GLM)
- GLM estimation, inference
- Logistic & poisson regression

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Topic revision: r6 - 24 Aug 2015, HakmookKang

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