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Statistical methods in medicine and epidemiology, fall 2011
News
The last lecture is on Tuesday (December 13). We start in
the computer class at 3:15 p.m. (see an extra R exercise below;
we will do this partly). After the computer class, a wrapup
session in B120.
The second course exam will be on Thursday, December 15. We will
start at 4 p.m. sharp. The exam ends at 7 p.m. The exam will cover
the 2nd part of the course (see below for a detailed list of topics).
Lecturer
Scope
610 cu.
Type
Advanced studies
Prerequisites
Lecture summaries
1. The binary model. Conditional probability. Bayes formula. (Chapters 1 and 2)
2. Likelihood function (Chapter 3)
3. Estimation of survival. The hazard function. (Chapters 4 and 5)
4. Time. Competing risks. Censoring. (Chapters 6 and 7)
5. Approximating likelihoods. Statistical paradigms. (Chapters 8, 9 and 10)
6. P values (Chapter 11)
8. Estimation of relative rates (Chapter 13)
9. Confounding. Stratification. Standardisation (Chapter 14 aand 15)
10. The lecture on confounding continued.
11. Casecontrol studies (Chapter 16)
12. Lecture. The lecture on casecontrol studies continued.
14. Part I: Poisson regression
14. Part II: Logistic regression
16. Hypothesis testing. Interaction
19. Two articles on p values and statistical evidence
http://www.rni.helsinki.fi/~kja/epid11/article2.pdf
Exercises
Data file (atresia.dat) The data matrix has 4 columns: individual ID, age at diagnosis, age at death or censoring,
failure indicator (1=death/0=censoring)
Datasets
CHD.dat
BCG.dat
BCGcasecontrol.dat
BCGmatched.dat
doseresponse.dat
Exams
The first course exam is on October 18 (Tuesday) at 47 p.m. Please
note the date which has changed from Thursday (Oct 20) to Tuesday (Oct 18).
The second course exam is on December 15 (Thursday) at 47 p.m. The
exam covers lectures 1219, exercise 69 and the following chapters
from the textbook:
Chapters 16, 17, 18 (except 18.2), 19, 21, 22, 23 (except 23.4),24, 25, 26,29, 30.
Bibliography
Registration
Did you forget to register? What to do.
Exercise groups
Group 
Day 
Time 
Place 
Instructor 

1. 



