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Causal inference in register studies

  • Number of credits 7.5 Credits
  • Level Master’s level
  • Starting Autumn Term 2018

About the course

Causal inference is the goal of many empirical studies in the health and social sciences. In a causal analysis, a causal parameter is formally defined and the underlying assumptions are explicitly stated. These assumptions clarifies the differences between experimental data and observational data for making causal conclusions. In the course we focus on two dominating approaches for causal analyses, i) the potential outcomes framework and ii) structural analyses (graphical models). We learn the foundations for these two frameworks as well as methods for estimation of causal effects in experimental and observational studies. Data-examples are given throughout the course and practical problem solving and data analyses are carried out in parallel with the theoretical material.

Application and eligibility

Causal inference in register studies, 7.5 hp

Det finns inga tidigare terminer för kursen Autumn Term 2018 Det finns inga senare terminer för kursen

Starts

Lectures begin on week starting 5 November 2018

Ends

Lectures end during the week of 14 January 2019

Study location

Umeå

Language

English

Type of studies

Daytime, 50%

Required Knowledge

Univ: 90 credits (hp) in statistics and/or mathematical statistics, or equivalent. Proficiency in English equivalent to Swedish upper secondary course English B (English/6)
 

Selection

Academic credits

Application code

UMU-27805

Application

Application deadline was 16 April 2018. The application period is closed.

Application and Tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK900

Tuition fee, first instalment

SEK15,000

Total fee

SEK15,000

Contact us

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