MF9510E Logistic regression, survival analysis and Cox regression
Location:
The course takes place in Rikshospitalet, Domus Medica (DM) and Domus Odontologica (DO), at the University of Oslo
Statistics program:
Note that the course is based on the program package Stata, see http://www.stata.com/
Teachers:
Tron Anders Moger, associate professor, Institute of Health Management and Health Economics, UiO
Harald Weedon-Fekjær, researcher, Oslo University Hospital (OUS), Department of Biostatistics, Epidemiology & Health Economy
Bjarte Aagnes, special adviser (Data manager), Cancer Registry of Norway.
Jon Michael Gran, associate professor, Department of Biostatistics, IMB, UiO (Course leader).
Program:
Monday, October 19
Seminarroom 1 B2.U001, Rikshospitalet
08.30-09.00: Registration (outside Lille Auditorium, DM)
09.00-09.15: Introduction. (Gran)
09.15-12.00: Introduction to survival analysis. (Gran)
12.00-12.45: Lunch break
GA012170B PC-stue 2.etasje, DM
12.45-15.45: Introduction to Stata. (Aagnes)
Tuesday, October 20
Seminarroom 1 B2.U001, Rikshospitalet
08.30-09.30: Analysis of proportions from follow-up and case-control studies. (Moger )
GA012170B PC-stue 2.etasje, DM
09.45-10.30: Exercises in Stata (Moger )
Seminarroom 1 B2.U001, Rikshospitalet
10.45-11.30: Logistic regression (Moger)
11.30-12.15: Lunch break
12.15-13.00: Logistic regression (Moger)
GA21 R-211 PC-stue, DM tilbygg
13.00-14.00: Exercises in Stata (Moger)
Seminarroom 1 B2.U001, Rikshospitalet
14.15-14.40: Discussion of exercises. (Moger)
14.50-15.40: Logistic regression continued (Moger)
Wednesday, October 21
GA21 R-211 PC-stue, DM tilbygg
08.30-09.30: Exercises in Stata (Moger)
A1.1004 Lille auditorium, DO
09.45-10.00: Discussion of exercises. (Moger)
10.00-12.15: Introduction to rates and incidence, with illustrations from cancer (Weedon-Fekjaer) -
12.15-13.00: Lunch break
GA21 R-211 PC-stue, DM tilbygg
13.00-14.10: Exercises in Stata: Analysis of incidence rates (Weedon-Fekjaer
A1.1004 Lille auditorium, DO
14.20-14.45: Discussion of exercises. (Weedon-Fekjaer)
14.50-15.15: Survival analysis in Stata (Aagnes)
15.15-15.45: Survival analysis in Stata cont. (Aagnes/Gran)
Thursday, October 22
Dataroom A1.1022, DO
08.30-09.30: Exercises in Stata (Aagnes)
A1.1004 Lille auditorium, DO
09.45-12.00: Cox regression (Gran)
12.00-12.45: Lunch break
GA012170B PC-stue 2.etasje, DM
12.45-13.30: Exercises in Stata (Aagnes)
A1.1004 Lille auditorium, DO
13.45-14.15: Discussion of exercises (Gran)
14.30-15.30: Advanced methods in survival and event history analysis. (Gran)
15.30-15.45: Overview of themes on the course. Closure. (Gran)
Course exam
A take home exam will be handed out at the end of the course. This should be solved at home and then returned within a specified deadline.