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= HLP Lab Mini Course on Regression Methods =
November 24 & 25, Copenhagen, Denmark

== Goal of this workshop ==
To provide sufficient background and a platform for a discussion of common issues in linear and logistic regression fitting, including applications of multilevel models.

Some of the specific questions that you have sent me:

 * Data distributions and transformations to increase normality
 * How robust are LME's in the face of normality violations (short answer: relatively robust; there are worse violations)
 * Evaluation of multiple logistic regression model 
  * also: "Precision measures"  -- I assume this refers to tests of the quality of fit of a model?
  * decision criteria to include or exclude variables. Why researchers sometimes keep insignificant predictors in the model?
 * When to use mixed-effects models 
 * Conceptual background

|| [[DenmarkMiniCourseSession0|The week before the tutorial]] || November 17 || Prepare ||
|| [[DenmarkMiniCourseSession1|Session 1]] || November 24 || Linear and logistic regression ||
|| [[DenmarkMiniCourseSession2|Session 2]] || November 25 || multilevel models ||

== Readings ==
In the sessions, I refer to the following readings:

'''Obligatory:'''
 *  Analyzing Linguistic Data:  A Practical Introduction to Statistics using R by Harald Baayen (2008). [[http://www.amazon.com/Analyzing-Linguistic-Data-Introduction-Statistics/dp/0521882591/|hardback ($97)]] [[http://www.amazon.com/Analyzing-Linguistic-Data-Introduction-Statistics/dp/0521709180/|paperback ($35)]] '''[[attachment:baayen_analyzing_08.pdf|Complete electronic draft]]'''.  Baa08.

'''Recommended:'''
 * [[http://www.amazon.com/Analysis-Regression-Multilevel-Hierarchical-Models/dp/0521867061/|Data Analysis Using Regression and Multilevel/Hierarchical Models]] by Gelman & Hill (2007).  [[http://www.stat.columbia.edu/~gelman/arm/|Online resources]].  G&H07.

'''Also useful:'''
 *  [[http://www.amazon.com/Introductory-Statistics-R-Peter-Dalgaard/dp/0387954759/|Introductory Statistics with R]] by Peter Dalgaard (2004).  [[http://staff.pubhealth.ku.dk/~pd/ISwR.html|Online resources]].  [[http://site.ebrary.com/lib/rochester/Doc?id=10047812|Electronic copy through U of R libraries]].  Dal04.
 * [[http://www.amazon.com/Categorical-Analysis-Wiley-Probability-Statistics/dp/0471360937/|Categorical Data Analysis]] by Alan Agresti (2002).  [[http://www.stat.ufl.edu/~aa/cda/cda.html|Online resources]].  Agr02.

== R packages ==
'''Please make sure you have the following R packages installed before you attend the workshop'''. Please also note that I will assume R version 2.7.1, and it's easier if you have that same version (or at least that recent a version).

 * [[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).