Umeå

Causal inference

Submitted by xavierdeluna on October 5, 2020 - 13:20

This course will be run on-line via zoom, except for the final exam which is onsite (but local examination might be arranged for PhD students at other universities).

Course Data
University: 
Umeå
Offered: 
2020:2
Level: 
Master
PhD
Credits (ECTS): 
8
Type of schedule: 
Travel friendly schedule

Causal inference

Submitted by xavierdeluna on September 21, 2018 - 13:09

 

Course Data
University: 
Umeå
Offered: 
2018:2
Level: 
Master
PhD
Credits (ECTS): 
8
Type of schedule: 
Regular schedule

Causal inference in register studies

Submitted by MariaKarlsson on September 18, 2012 - 13:03

In this course we introduce causal inference with main focus on two approaches; i) the potential outcome framework/ Rubin Causal Model and ii) Causal inference with graphical models.
Identification of causal effects in the two approaches is studied. Non and semi-parametric estimators of causal effects commonly associated with the potential outcome framework will be presented. A general  introduction to graphical models is also given.

Course Data
University: 
Umeå
Offered: 
2012:2
Level: 
Master
PhD
Credits (ECTS): 
8
Type of schedule: 
Regular schedule

Incomplete data: semi-parametric and Bayesian methods (Winter Conference)

Submitted by SuneK on December 22, 2010 - 14:45
Incomplete data is a common phenomenon in longitudinal studies based on surveys and/or population registers. In such studies individuals are followed through time and data may be incomplete due, e.g., to drop out/attrition (individuals intentionally leave the study, individuals leave the study because they move or die, etc.) and censoring (due to end of study, death, etc). Incomplete data may also arise due to selection mechanisms, for instance, in meta-analyses (publication bias) and causal inference in observational studies.
Course Data
University: 
Umeå
Offered: 
2011:1
Level: 
PhD
Credits (ECTS): 
3
Type of schedule: 
Travel friendly schedule

Statistics for register based research

Submitted by ingeborg_waernbaum on March 24, 2010 - 09:42

The course covers the following topics related to register based research:

- Registers, measurement and quality issues

-Causality and inference in observational studies

-Graphical models, multivariate analysis

-Registers, population based studies and surveys, combining different sources of data

Course Data
University: 
Umeå
Offered: 
2010:1
Level: 
Master
PhD
Credits (ECTS): 
8
Type of schedule: 
Travel friendly schedule
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