Regression (Reg)
Learn how to construct regression models using combinations of linear predictors, basis expansions, link-functions and variance functions.
Course description
Content
- Multiple linear regression and least squares methods.
- Generalized linear models.
- Survival regression models.
- Nonlinear effects and basis expansions.
- Parametric, semiparametric and nonparametric likelihood methods.
- Aspects of practical regression analysis in R.
Recommended academic qualifications
StatMet and MStat (alternatively MatStat from previous years) or similar
Academic qualifications equivalent to a BSc degree is recommended.
Place
- The University of Copenhagen
- Department of Mathematical Sciences
-
Universitetsparken 5
2100 København Ø
Contact
SCIENCE Student Services
Call (+45) 35 33 35 33 from 9.00-12:30 (closed Wednesdays)
Write to studentservices@science.ku.dk