Overview
The Causal Inference in Observational Epidemiology course offered by University of Bern presents such framework for causal inference from observational data and recent methodological developments, with a special emphasis on complex longitudinal data.
What you will study
- Causal inference from observational data is a key task of epidemiology and of allied disciplines such as behavioural sciences and health services research.
- Commonly used statistical methods estimate association measures which cannot always be causally interpreted, even when all potential confounders are included in the analysis.
- In contrast, a causally explicit approach formally defines causal effects, identifies the conditions required to estimate causal effects without bias, and uses analytical methods that, under those conditions, provides estimates that can be endowed with a causal interpretation.
- The application of these methods will be illustrated using data from a synthetic HIV cohort study.
Programme Structure
The program focuses on:
- An in-depth understanding of confounding and selection bias
- An understanding of the role and potential of different methodological approaches to overcome these problems, including inverse probability weighting, marginal structural models and nested structural models
- Done practical data analyses implementing these methods using Stata or R software.
Key information
Duration
- Full-time
- 3 days
Start dates & application deadlines
- StartingApply anytime.
Language
Credits
Delivered
Campus Location
- Bern, Switzerland
Disciplines
EpidemiologyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- The course is aimed at epidemiologists, statisticians, and other researchers who work with longitudinal observational data.
- Stata® will be used for the computer practical sessions, and so familiarity with the package is desirable, although code and solutions will be provided.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Bern and/or in Switzerland, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents600 CHF / full≈ 600 CHF / full -
Domestic Applies to you
Applies to youCitizens or residents600 CHF / full≈ 600 CHF / full
Additional Details
- PhD Bern: CHF 600
- PhD other: CHF 800
- Academic: CHF 1000
- Industry: CHF 2000
Living costs
Bern
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.