Applied Statistical Regression
Autumn semester 2021
General information
Lecturer  Marcel Dettling 

Assistant  MetaLina Spohn 
Lectures  Mon 0810 HG E 1.2 >> and/or via zoom 
Exercises  Mon 1012 (biweekly) HG E 1.2 >> and/or via zoom 
Course catalogue data  >> 
Literature 
Faraway (2005): Linear Models with R 
Course content
AbstractThis 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. A special focus will be laid in the use of the statistical software package R for regression analysis.
ObjectiveThe students acquire advanced practical skills in linear regression analysis and are also familiar with its extensions to generalized linear modeling.
ContentThe course starts with the basics of linear modeling, and then proceeds to parameter estimation, tests, confidence intervals, residual analysis, model choice, and prediction. More rarely touched but practically relevant topics that will be covered include variable transformations, multicollinearity problems and model interpretation, as well as general modeling strategies.
The last third of the course is dedicated to an introduction to generalized linear models: this includes the generalized additive model, logistic regression for binary response variables, binomial regression for grouped data and Poisson regression for count data.
NoticeThe 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.
Announcements

August 20st, 2021:
Beginning of lecture and exercise class: Monday, 27.09.2021.
Course materials
All course material will be provided on the Moodlecourse webpage.Exercise classes
Exercises will be held roughly biweekly, see below. On these dates, the exercise classes will take place from 10:15 to 11:55 in HG E 1.2 (or via zoom, still to be decided). The first exercise class is meant to be an opportunity for you to ask questions regarding the software R. The material you should be familiar with consists of the R tutorial and exercise sheet 1. Also further on, R will be used during the exercises so that you are expected to bring your laptop to the classes. Starting with the second exercise class, the idea is that there will be a discussion of the old exercise sheet (common problems) and a discussion of the new exercise sheet (hints and theory as needed) taking at most one hour. Afterwards, you work on the problems using the computer; the assistants will be there to give instructions and support.
The dates of the exercise classes are the following: September 27, 2021
 October 11, 2021
 October 25, 2021
 November 08, 2021
 November 22, 2021
 December 06, 2021
 December 20, 2021
Help with R
During the first exercise class you will have the opportunity to ask questions regarding the software R. Further material can be found following the links below.
R homepage
R studio homepage
Getting help with R
Online R course (in German)
Try R