HLP Lab Mini Course on Regression Methods

May 27 2008 - June 9 2008

Texts

# * [http://www.amazon.com/Applied-Regression-Analysis-Generalized-Linear/dp/0761930426/ref=sr_1_3/002-3707949-0352833?ie=UTF8&s=books&qid=1211219661&sr=8-3 Applied Regression Analysis and Generalized Linear Models] by John Fox (2008). [http://socserv.mcmaster.ca/jfox/Books/Applied-Regression-2E/index.html Online resources].

• [http://www.amazon.com/Analysis-Regression-Multilevel-Hierarchical-Models/dp/0521867061/ref=sr_1_1?ie=UTF8&s=books&qid=1211219851&sr=8-1 Data Analysis Using Regression and Multilevel/Hierarchical Models] by Gelman & Hill (2007). [http://www.stat.columbia.edu/~gelman/arm/ Online resources].

• [http://www.amazon.com/Analyzing-Linguistic-Data-Introduction-Statistics/dp/0521882591/ref=sr_1_1?ie=UTF8&s=books&qid=1211219948&sr=8-1 Analyzing Linguistic Data: A Practical Introduction to Statistics using R] by Harald Baayen (2008). [attachment:baayen_analyzing_08.pdf Complete electronic draft].

R packages

• [http://cran.r-project.org/web/packages/Design/index.html Design]. Linear and generalized linear regression.

• [http://cran.r-project.org/web/packages/lme4/index.html lme4]. Multilevel modeling.

• [http://cran.r-project.org/web/packages/arm/index.html ARM]. Companion package for Gelman & Hill (2007).

• [http://cran.r-project.org/web/packages/languageR/index.html languageR]. Companion package for Baayen (2008).

Week 1: Linear regression

1. Session 1:

2. Session 2:

Week 2: Logistic regression

1. Session 3:

2. Session 4:

Week 3: Multilevel regression

1. Session 5:

2. Session 6:

Week 4: Implementations (optional)

1. Session 7: lme4 implementation details