Statistical methods in public health, fall 2015
Last modified by tharkane@helsinki_fi on 2024/03/27 10:49
Statistical methods in public health, fall 2015
Teacher: Tommi Härkänen, tommi.harkanen 'at' thl.fi
Scope: 5 cr
Type: Intermediate or advanced studies
Teaching: Lectures and computer class working
Outline of the course:
- Different study designs
- Binary model
- Survival analysis
- Regression analysis
- logistic and Poisson regression models
- confounding
- interactions
- Graphical models
- Case control studies
Prerequisites: Studies in probability, statistical inference, linear models, data-analysis with R-program. Good knowledge in R is necessary. In statistic major degree requirements this course is scheduled for students who have already taken the courses 57045, 57046, 57703, 57705, 57701, 57714.
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News
Teaching schedule
Period I, Tuesday 14-18 in Computer class C128.
Exams
Practical work is used for the evaluation. The assignment of the practical work will be available via Moodle (October 13).
Course material
Lecture notes
- (Binary experiment)
- (Survival analysis)
- (Time scales and competing risks)
- (Confounding, Cox model)
- (Graphical models and confounding)
- (Adjusted means and delta method)
- (Case-control studies)
Literature
- Clayton D, Hills M (1993) Statistical Models in Epidemiology. Oxford University Press.
- Pearl J (2000) Causality: Models, Reasoning, and Inference, Cambridge University Press.
- Keogh RH, Cox DR (2014) Case-Control Studies. Cambridge University Press.
Data sets
- See the Moodle page of the course.
Registration
Did you forget to register? What to do?
Exercises
Assignments
- Set 1
- Set 2
Course feedback
Course feedback can be given at any point during the course. Click here.