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Program

The 2023 program will be announced later in the year. Below you can see the program from the 2022 Pharmacoepidemiology Summer School.

Drugs, Diseases, Designs: Topics and methods in real-world pharmacoepidemiology


Benefits and risks of treatments are only interpretable in the context of treated patients with a given disease. In this year’s series of master classes, we start by showcasing pharmacoepidemiology challenges and methods in specific diseases and finish by the popular meta-analysis course.


Format: Brief overview lectures followed by hands-on exercises and group work rooted in real studies.

Prerequisites: basic training in epidemiology and biostatistics is assumed.

Equipment: Laptop. All participants will get a short-course STATA license for the duration of the course, which needs to be installed on laptop.


Monday, 20 June 2022


Morning (8.30 am - 12.00 noon)

Get real: crash course in pharmacoepi-methods

Epidemiologic study design, prescription data and sources of bias in pharmacoepidemiology. Confounding by indication, healthy user effects.
 

Instructor:
Reimar W. Thomsen, MD, PhD
Aarhus University


Afternoon (1.00 pm - 4.00 pm)

Sugar, statins and other stories

Brief overview of diabetes/obesity/cardiovascular disease epidemiology and treatment. Studying comparative effectiveness and drug safety.
 

Instructor:
Reimar W. Thomsen, MD, PhD
Aarhus University


Tuesday, 21 June 2022


Morning (8.30 am - 12.00 noon)

Cancer epidemiology in the era of precision medicine

Treatment patterns and recurrence, immortal time bias, targeted therapies.


Instructors:
Deirdre Cronin-Fenton, PhD
Mette Nørgaard, MD, PhD
Aarhus University


Afternoon (1.00 pm - 4.00 pm)

Drugs and biomarkers in renal diseases

Longitudinal data, defining outcomes using laboratory values, longitudinal data with repeated measurements.
 

Instructor:
Christian Fynbo Christiansen, MD, PhD
Aarhus University


Wednesday, 22 June 2022


Morning (8.30 am - 12.00 noon)

Perinatal pharmacoepidemiology

Design, analysis, and bias as applied to studies of drug treatment in pregnancy.


Instructors:
Irene Petersen, PhD
University College London

Vera Ehrenstein, MPH, DSc
Aarhus University


Afternoon (1.00 pm - 4.00 pm)

DUS and Don’ts

Drug utilization and risk minimization studies. Interrupted time series regression. Validation studies of routinely collected data.
 

Instructors:
Irene Petersen, PhD
University College London

Vera Ehrenstein, MPH, DSc
Aarhus University


Thursday, 23 June 2022


All day (8.30 am - 4.00 pm)

Meta-analysis (part 1)

The course will give a comprehensive overview of topics in meta-analysis. Most standard topics in meta-analysis will be covered, such as risk of bias analysis, fixed versus random effect models, heterogeneity, meta-regression and differences between meta-analysis of randomized trials and meta-analysis observational studies. Core elements will also be covered in hands-on practical sessions. These sessions will be provided in R and STATA. After the course, the students should be able to perform a standard meta-analysis by themselves.


Instructors:
Olaf M. Dekkers, MD, PhD
Leiden University Medical Center

Saskia le Cessie, PhD
Leiden University Medical Center


Friday, 24 June 2022


Morning (8.30 am - 12.00 noon)

Meta-analysis (part 2)

The course will give a comprehensive overview of topics in meta-analysis. Most standard topics in meta-analysis will be covered, such as risk of bias analysis, fixed versus random effect models, heterogeneity, meta-regression and differences between meta-analysis of randomized trials and meta-analysis observational studies. Core elements will also be covered in hands-on practical sessions. These sessions will be provided in R and STATA. After the course, the students should be able to perform a standard meta-analysis by themselves.


Instructors:
Olaf M. Dekkers, MD, PhD
Leiden University Medical Center

Saskia le Cessie, PhD
Leiden University Medical Center