Courses

Econometric analysis 15 hp, winter/spring 2018

Submitted by HoTh on June 12, 2017 - 16:30
Course Data
University: 
Linné
Offered: 
Not scheduled
Level: 
PhD
Credits (ECTS): 
15
Type of schedule: 
Travel friendly 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

Multi level analysis

Submitted by ghazishukur on August 26, 2010 - 20:43

COURSE SYLLABUS Multi level analysis

Course Data
University: 
Linné
Offered: 
2010:2
Level: 
PhD
Credits (ECTS): 
8
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

Multivariate Analysis

Submitted by SuneK on March 5, 2010 - 00:06

Course Data
University: 
Uppsala
Offered: 
2010:1
Level: 
PhD
Credits (ECTS): 
15
Type of schedule: 
Travel friendly schedule

Advanced Probability and Inference

Submitted by SuneK on September 24, 2009 - 01:10

Content

  • Mathematical background (limits, series, order relations and rates of convergence, continuity, sets)
  • Measure theoretic foundations of probability (probability triplets, random variables, independence, expected values, change of variable)
  • Stochastic convergence (almost sure convergence, convergence in probability, convergence in distribution, laws of large numbers, central limit theorems, non-iid stochastic variables)
  • Conditional probability and expectation
Course Data
University: 
Örebro
Offered: 
2009:2
Level: 
PhD
Credits (ECTS): 
12
Type of schedule: 
Travel friendly schedule

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