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Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
DPIPEM04 Regression models 5 ECTS
Organised by
International Doctoral Programme in Epidemiology
Common Core Studies/LTL
Person in charge
Jaakko Nevalainen
Corresponding course units in the curriculum
School of Health Sciences
Curricula 2015 – 2017
DPIPEM04 Regression models 5 ECTS

General description

The course covers different types of regression models, i.e. linear regression, logistic regression, survival analysis, Poisson regression.

Learning outcomes

After completing the course the students can based on the research question select a suitable analysis method for the data. Students understand the details of the various types of multipredictor regression models, as well as their limitations. Students are able to properly use and understand the multipredictor models. Students can conduct the analysis using statistical software R and interpret the results of the analysis.


Simple linear regression, multiple linear regression, predictor selection, logistic regression and other models for binary responses, survival analysis (proportional hazards model and its extensions), Poisson regression, log-linear models, statistical computing with R

Teaching language


Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In English
In English


Numeric 1-5.

Belongs to following study modules

Faculty of Social Sciences
Faculty of Social Sciences
Faculty of Social Sciences
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Faculty of Social Sciences