CANCELLED Multilevel Statistical Modelling and Causal Inference in Epidemiology (2021)

  • Description:

    Multilevel data emerges in many types of quantitative epidemiology studies. Whether we are using a randomized block design in a clinical trial, applying generalizability theory to performance measures, investigating variability across regions and municipalities, handling subject recurrence, conducting a network meta-analysis or simply trying to avoid overfitting.

    In this course we discuss the following methodologies and when to apply them in multilevel analyses:

    ·       Cluster-robust variance and clustered bootstrap

    ·       Mixed effects modelling (crossed, nested and combined)

    ·       Median effects and intraclass correlation coefficient

    ·       Inverse probability of treatment weights incl. balance diagnostics.

    The course is mainly concerned with interpretation of research results.

    Literature: Course material will be sent out during the course

    Prerequisites: Basic Statistics and basic programming abilities with Stata or R, all participants must bring a laptop with either Stata or R installed. R is recommended for the majority of the assignments.

    Evaluation: Assignment with oral presentation in groups of 2-4 participants



  • Organizer: Jan Brink Valentin, jvalentin@dcm.aau.dk

  • Lecturers: Jan Brink Valentin, jvalentin@dcm.aau.dk

  • ECTS: 2,5

  • Time: 21th, 22nd and 23rd of September 2021 from 08.30 to 16.00

  • Place: Niels Jernes Vej 14, room 3-119

  • Zip code: 9220

  • City: Aalborg

  • Number of seats: 20

  • Deadline: 24 August

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.