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'

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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Teaching schedule

Period I,  Tuesday 14-18 in Computer class C128.


Practical work is used for the evaluation. The assignment of the practical work will be available via Moodle (October 13).

Course material

Lecture notes


  • 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


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  • Set 1
  • Set 2

Course feedback

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