Statistical methods in medicine and epidemiology, fall 2010
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R Exercise 2 (Computer class, ground floor, C wing; 5:15 p.m., Tuesday, December 14)
doseresponse.dat (Data set for the exercise)
CHD.dat (Another data set for the exercise)
The second course exam is on Thursday (December 16) at 5 p.m. (until 8 p.m.). We start at 5 p.m. sharp in the usual classroom. The topics to be covered in the exam are as follows:
Lectures 11-19. Exercises 6, 7 and the R Exercises (see Lectures 17 and 20). The corresponding chapters from the course book as follows: 17.3-17.4, 18-19, 21-25, 26.1-26.3, and 29-30.
N.B. It is possible to do a final exam on Thursday (Dec 16). The final exam covers the whole material of the autumn term 2010. In addition, to the material as listed above, the final exam covers also the material that was listed for course exam 1 (see the bottom of this page).
Answers to Exercise 6
Answers to exercise 7
Lecturer
Scope
6-10 cu.
Type
Prerequisites
Lectures
I period: Tue and Thu 17-19 in D122
II period: Tue and Thu 18-20 in D122
Lecture summaries
1. Binary model. Conditional probability. Bayes formula (Chapters 1 and 2)
2. Likelihood (Chapter 3)
3. Estimation of survival. The hazard function. (Chapters 4 and 5)
4. Time. Competing risks. Censoring (Chapters 6 and 7)
5. Approximating likelihood functions. Statistical inference (Chapters 8, 9 and 10)
6. P values. Statistical significance
(Chapter 11)
7. P values and statistical significance (continues)
Lecture 8. Cohort studies. Estimation of rates and relative rates (Chapter 13)
Lecture 9. Confounding. Stratification. Standardisation.
(Chapter 14 and 15)
Lecture 10. Case control studies(Chapter 16)
Lecture 11. Prospective likelihood in case-control studies. Exact P values. (Chapters 16.3,16.4; 17.2, 17.3, 17.4)
Lecture 12. Matching (Chapter 18.3)
Lecture 13a. Poisson regression (Chapter 23)
Lecture 13b. Logistic regression (Chapter 23)
Lecture 14. Sample size (Chapter 21)
Lecture 15. Testing hypotheses. Interaction. Individually matched case-control studies (Chapter 24)
Lecture 16. Cox regression
Lecture 17: R Exercise 1
Lecture 18. Model choice. More about interaction
Lecture 19. Two articles to be discusses in the class (Article 1)
http://www.rni.helsinki.fi/~kja/epid10/article2.pdf (Article 2)
Lecture 20: R Exercise 2
Exam II (Thu, Dec 16)
Exercises
The weekly exercise class is on Mondays at 12:30
- 2:00 p.m. (B120).
The class will be given by Elina Roto. The exercises will be available on
the preceding Thursday on this page.
1. Exercise
2. Exercise
atresia.dat Data set for exercise 2/2 (the four columns are: patient id; age at entry; at the exit;
event indicator (0 = censoring/1 = death))
3. Exercise
4. Exercise
5. Exercise
6. Exercise
7. Exercise
Answers to Exercise 1
Answers to Exercise 2
Answers to Exercise 3
Answers to Exercise 4
Answers to exercise 5
Answers to Exercise 6
Answers to Exercise 7
R Exercise 1 (Lecture 17)
http://www.rni.helsinki.fi/~kja/epid10/BCG.dat
http://www.rni.helsinki.fi/~kja/epid10/BCGmatched.dat
http://www.rni.helsinki.fi/~kja/epid10/BCGcasecontrol.dat
http://www.rni.helsinki.fi/~kja/epid10/dietdata.dat
Exams
There are two exams (max. points 24+24). To pass the course, one needs to
obtain approximately half of the points, i.e., 24/48
points.
The first course exam is on Thursday (October 21) at 5 p.m. (until 8 p.m.)
We start at 5 p.m. sharp in the usual classroom. The topics to be covered
in the exam as as follows:
Lectures 1-10. Exercises 1-5. The corresponding chapters from the course book
as follows: 1-11, 13-14, 15 (except 15.3), 16.1-16.3, 17.1-17-2.
Bibliography
Registration
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