Event-history analysis, fall 2015

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Teaching schedule

Weeks 36-39; Tuesday and Thursday 9-11 in room C129 and 11-13 in Computer class C128.

Exams

Discussion articles and home assignments

Course material

Lecture notes

Day 1 (Tuesday, September 1)

• Lecture 1: Introduction to survival and event history analysis

• Practical 1: Survival and event analysis using R: Introduction (R-code)

Day 2 (Thursday, September 3)

• Lecture 2: Nonparametric analysis of survival data  

• Lecture 3: Counting process formulation
• Practical 2: Nonparametric analysis of survival data using R (answers)

Day 3 (Tuesday, September 8)

• Lecture 4: Survival likelihood and parametric survival distributions
• Lecture 5: Survival regression models I
• Lecture 6: Data exploration and model checking
• Practical 3: Exploratory survival data analysis ( answers)

Day 4 (Thursday, September 10)

• Practical 4: Survival regression models in R (see Practical 3)
• Guest lecture: Data augmentation in continuous-time SIR model (Lecture room. CK107, time: 14:00 to 15:30)

Day 5 (Tuesday, September 15)

• Lecture 7: Survival regression models II (toy example)
• Discussion article 1 (sections 2,3, 4)
• Discussion article 2 (sections 1, 2)
• Practical 5: Competing risks as a multi-state model (answers)

Day 6 (Thursday, September 17)

• Lecture 9: Event history models II
• Discussion article 1 (section 5)
• Practical 6: Survival regression models in R (see Practical 3, melanoma.R)

Day 7 (Tuesday, September 22)

• Lecture 10: Sampling patterns
• Discussion article 1 (section 7)
• Discussion article 3 (section 2, 3)
• Practical 7: Illness-death model and left-censored data (answers)

Day 8 (Thursday, September 24)

• Discussion article 4
• Example: Modelling complex outbreak using a multi-state model
• Lecture 11: Incidence and prevalence: Health-Illness model revisited
• Practical 8:

Home assignments

1. coursework-diet.pdf
2. coursework-oldmort.pdf
3. coursework-mice.pdf
4. coursework-divorce.pdf

Data sets:

cervix.dat

melanoma.csv

outbreak.dat

divorcedata-tab.csv

diet.dat

mouse.dat

baboon data

References:

Books:

• Odd O. Aalen, Ørnulf Borgan, Håkon K. Gjessing. Survival and event history analysis. A process point of view. 2008, Springer.

• Göran Broström. Event History Analysis with R. 2012, CRC Press, Taylor & Francis Group
• Clayton D and Hills M. Statistical Methods in Epidemiology, 2002, Oxford University Press, New York.

Research articles:

1. Kieding, N. Event history analysis.Annu. Rev. Stat. Appl. 2014;. 1:333–60
2. Per Kragh Andersen, Steen Z Abildstrom, and Susanne Rosthøj. Competing risks as a multi-state model.Statistical Methods in Medical Research 2002; 11: 203-215.

3. Keiding, N, Hansen, OKH, Sørensen, DN and Slama, R. The Current Duration Approach to Estimating Time to Pregnancy. Scandinavian J of Stat 2012; 185-204.

4. Kate Bull and David J. Spiegelhalter. Tutorial in biostatistics survival analysis in observational studies. Statistics in medicine, 1997; 16: 1041-1074

5. Per Kragh Andersen, Niels Keiding. Multi-state models for event history analysis. Statistical Methods in Medical Research 2002; 11: 91-115..

    

Registration

Course feedback

Course feedback can be given at any point during the course. Click here.