This course introduces the principles and practice of linear regression modeling. Underlying model assumptions are reviewed and scrutinized. In intensive computer laboratories, statistical tools for creating appropriate data structures and estimating models using real data are presented and guidance is provided in interpretation of model parameters. The remainder of the course focuses on causal inference and the potential outcomes framework. Panel data models and statistical tools for their estimation are presented, and their potential to improve causal inference are compared. Discussion is extended to consider natural experiments and instrumental variable approaches to causal inference. The sensitivity of estimates to violations of model assumptions are evaluated, with special attention given to methods centering on computer simulation.
Statistics and Data Science II
7.5 creditsStatistics and Data Science II, 7.5 credits
Autumn 2024, Half-time, Norrköping
Semester
Autumn 2024
Place of study
Norrköping
Pace of study
Half-time
Level
Second cycle
Teaching form
On-Campus
Education Time
Day-time
Education Language
English
Course offering id
LIU-46102
Period
202444 - 202503
Number of Places
2
Specific requirements
- 180 ECTS credits passed including 90 ECTS credits within one of the following areas humanities, social-, cultural-, behavioural-, natural-, computer-, or engineering-sciences
- 15 ECTS credits passed in one or several of the following subjects:
Statistics
Mathematics
Computer science - English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
Exemption from Swedish
Selection
Tuition fees
SEK 17600 - NB: Applies only to students from outside the EU, EEA and Switzerland.
If you have questions about the course, contact us
Maria Brandén, course director
Madelene Töpfer, course administrator
Jonas Johansson, study adviser
Statistics and Data Science II, 7.5 credits
Autumn 2025, Half-time, Norrköping
Semester
Autumn 2025
Place of study
Norrköping
Pace of study
Half-time
Level
Second cycle
Teaching form
On-Campus
Education Time
Day-time
Education Language
English
Course offering id
LIU-46102
Period
202544 - 202603
Number of Places
2
Specific requirements
- 180 ECTS credits passed including 90 ECTS credits within one of the following areas humanities, social-, cultural-, behavioural-, natural-, computer-, or engineering-sciences
- 15 ECTS credits passed in one or several of the following subjects:
Statistics
Mathematics
Computer science - English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
Exemption from Swedish
Selection
Tuition fees
SEK 17600 - NB: Applies only to students from outside the EU, EEA and Switzerland.