HNE-32903 Intermediate Analytical Epidemiology: confounding and effect measure modification (DL)

Course

Credits 3.00

Language of instruction:

English

Assumed knowledge on:

DL-introduction to analytical epidemiology, DL-integration of evidence 1, DL-observational designs and assessment of validity

Continuation courses:

The DL-MSc-specializations have a fixed schedule during the pilot-phase

Contents:

Note: This course has a maximum number of participants. The deadline for registration is one week earlier than usual. See Academic Year.(http://www.wageningenur.nl/en/Education-Programmes/Current-Students/Agenda-Calendar-Academic-Year.htm) -> Registration for Courses.
Note: The period mentioned below is the period in which this course starts. For the exact academic weeks see the courseplanning on www.wur.eu/schedule.

This course focuses on how to evaluate whether confounding and effect measure modification are present. It also focuses on how to deal with confounding in the analysis.

Learning outcomes:

After successful completion of this course students are expected to be able to: - evaluate whether confounding and effect measure modification are present by stratification;
- explain how adjustment for confounding by linear regression modelling is working;
- evaluate whether confounding is present by linear regression modelling;
- understand the principles of energy adjustment;
- understand the relevance of energy adjustment because of correction for diet composition, removal of external variation in intake, confounding;
- understand for energy using multivariate, density, and residual approach;
- apply the approaches for energy adjustment in R.

Activities:

Clips, e-module, individual assignment, group discussion.

Examination:

- final written exam;
- group assignment biomarker protocol;
- discussion assignments (personal portfolio).

Literature:

- Webb&Bain, chapter 8;
- Medical statistics at a glance "chapter 27, 28, 29 about theory, performing, and multiple linear regression modelling".