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 credits
Autumn 2022, Half-time, Norrköping
Semester
Autumn 2022
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
202244 - 202303
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 14498 - NB: Applies only to students from outside the EU, EEA and Switzerland.
If you have questions about the course, contact us
Maria Brandén
Madelene Töpfer
Statistics and Data Science II, 7.5 credits
Autumn 2023, Half-time, Norrköping
Will open for late application 14 July 2023
Semester
Autumn 2023
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
202344 - 202403
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 14498 - NB: Applies only to students from outside the EU, EEA and Switzerland.