Lectures and seminars Workshop: Epidemiological Designs in a Statistical Framework: Optimal Use of Registry Data

Main teacher 

Professor Esa Läärä, Research Unit of Mathematical Sciences, University of Oulu, Finland

Co-teachers/course organisers

Assistant Prof Anna Johansson, Prof Keith Humphreys, Associate Prof Mark Clements

Contents

This workshop will introduce a methodological framework for a wide range of epidemiological study designs and their sampling strategies from a statistical perspective. Topics include study base, study design, which measures of associations can be estimated from each study design, concepts of bias and precision, cohort studies, case-control studies, case-cohort studies and matched cohort studies. A causal inference perspective on epidemiological study design will be discussed. Focus will be on conceptual understanding and implications for study design in a setting with a fully enumerated population, such as register-based epidemiology.

Target audience

Aimed at biostatisticians and epidemiologists with a methodological interest; for PhD students a minimum requirement is Biostatistics 3 (Survival analysis for epidemiologists) or equivalent. The workshop assumes participants have training in epidemiological study designs and survival analysis prior to the course. Pre-knowledge on basic concepts of causal diagrams is also recommended. Undergraduate training in statistics or similar is helpful, but not a formal requirement.

Format

The workshop includes face-to-face lectures, practicals, group work, article reading and discussions in groups.

Times

Scheduled time 09:00-15:00 with time for self-study 15:00-17:00.

Credit

As this is a workshop, credits will need to be claimed from the Study Director at the participant's department, after passing the exam (note: We cannot guarantee credits, this is up to your department to decide.)

Applications

Applications will open in April 2022. Priority will be given to applicants with methodological background and training, as well as to PhD students and postdocs.

For more information, please contact the co-teachers