Information about STK4900 and STK9900 this year
Welcome to STK4900/9900 in 2022! This year Riccardo De Bin will hold the lectures, while Timo Lohrmann and Per August Moen will act as TA and hold the exercise classes.
Organization
The course is given intensively over two separate weeks, week 7 (February 14th-18th) and week 12 (March 21st-25th).
As a preparation to the first part of the course, the students are encouraged to recapitulate the main themes of Chapters 6, 7, 10 and 11 in the course book for STK1000; see here for details (or the similar material in another introductory book in statistics).
We will have lectures every day from 9.15-12.00, then there will be a lunch break, followed by R-exercises and "pen-and-pencil exercises" in groups. The exercises are from 12.15-16.00. One group will have R-exercises 12.15-14.00 and pen-and-paper exercises 14.15-16.00; the second group will start with exercises 12.15-14.00 and have R-exercises 14.15-15.30.
Textbook
It is possible to learn a lot from the slides of the lectures, which will be made available on this page when we get closer to teaching weeks. The recommended textbook is Vittinghof, E., Glidden, D., Shiboski,S.C. and McCullogh, C. (2012), Regression methods in biostatistics, Springer.
The book is available as e-book, and can be freely accessed and down loaded as a pdf file as long as you are on the UiO net. If you are not on UiO there various ways of obtaining the book, in particular you may use the following link:
https://link-springer-com.ezproxy.uio.no/book/10.1007/978-1-4614-1353-0
Programming language
In examples and exercises we will use the statistics program R for the analyses. Many of you will prefer to use R-studio.
Both R and R-studio can be downloaded to your computer free of charge on windows, mac and linux-platforms from http://cran.r-project.org/ If you have problems installing R help will be given at computer exercises.
Teaching (physical vs online)
We hope that physical teaching will be possible both weeks, but at the moment it is not clear if there will be the chance. We will post a new message about that as soon as possible.
Anyway, we will offer the possibility to follow the course without being physically present, by streaming the lectures and/or by making slides, recordings of lectures and solution of the exercises available.
Attendance of classes is encouraged but is not mandatory.