You are here: Vanderbilt Biostatistics Wiki>Main Web>CourseBios345 (24 Aug 2015, HakmookKang)EditAttach

- 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

Edit | Attach | Print version | History: r6 < r5 < r4 < r3 | Backlinks | View wiki text | Edit wiki text | More topic actions

Topic revision: r6 - 24 Aug 2015, HakmookKang

Copyright © 2013-2017 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.

Ideas, requests, problems regarding Vanderbilt Biostatistics Wiki? Send feedback

Ideas, requests, problems regarding Vanderbilt Biostatistics Wiki? Send feedback