
Professor  Dr. Marcel Dettling  Time  Mo 810 
Coordinators 
Christian Kerkhoff, Philipp Rütimann 
Place 
HG D 1.1 
Beginning of lectures: 26/09/2011
Attendance certificate conditions: None.
Doctoral students:There are no conditions for obtaining the attendance certificate. This also holds for PhD students that are after ETH credit points for their doctorate. All doctoral students, as well as other attendants who are after ECTS credit points need to attend and pass the exam for getting the credits awarded.
Here is a link to the exercises.
Abstract
This course offers a practically oriented introduction into regression modeling methods. The basic concepts and some mathematical background are included, with the emphasis lying in learning "good practice" that can be applied in every student's own projects and daily work life.
Content
The course starts with the basics of linear regression models, and then proceeds to parameter estimation, tests and confidence intervals, residual analysis, model choice, and prediction. More rarely touched but practically relevant topics that will be covered include variable transformations, categorical and erroneous input variables.
The last third of the course is dedicated to an introduction into generalized linear regression models: Logistic regression for binary response variables, Poisson regression for count data, cumulative logit models for ordered, and multinomial regression for categorical response variables.
Objetive
The students acquire advanced practical skills in linear regression analysis and are also familiar with its extensions to generalized linear modeling.
Notice
The exercises, but also the classes will be based on procedures from the freely available, opensource statistical software package R, for which an introduction will be held. See the exercise section for more information.
Old exams
Script (last update 03.10.2011)
Slides
Datasets from the lecture
Dataset  Description 
Mortality.rda Mortality.xls 
Mortality.pdf 
Treegrowth.rda Treegrowth.xls 
Treegrowth.pdf 
Teengamb.rda  not yet available 
bremsweg.rda  not yet available 
There are many books that cover the topics of our course. Here are 3 recommendations:
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