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== 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

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

[wiki:/Session0 The week before the tutorial]

November 17

Prepare

[wiki:/Session1 Session 1]

November 24

Linear and logistic regression

[wiki:/Session2 Session 2]

November 25

multilevel models

Readings

In the sessions, I refer to the following readings:

Obligatory:

Recommended:

Also useful:

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).

DenmarkMiniCourse (last edited 2011-08-09 19:56:10 by echidna)

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