Program for DES forårsmøde 2019 med temaet Ways to bypass unmeasured confounding in observational research.

Lokation: Victor Haderup auditoriet, Panum, University of Copenhagen. Blegdamsvej 3B, 2200 København

Program
10:00-10:30 Arrival, Poster hanging and small breakfast 

10:30-10:45 Introduction v. Christina Cathrine Dahm 

10:45-12.15 Session 1  

• Til Stürmer, Department of Epidemiology, School of Public Health, University of  North Carolina.” The role of the active comparator, new user study design” 
• Maya Mathur, Department of Epidemiology, Harvard University. “Sensitivity  analysis for unmeasured confounding in single studies and meta-analyses”  

12:15-13:00 Lunch 

13:00-14:15 Session 2  

• Sebastian Schneeweiss, Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School.  “Automated data adaptive analytics for electronic healthcare data to study causal  treatment effects”  
• Katrine Strandberg-Larsen, University of Copenhagen, Department of Public  Health. ”Values of adding the DNBC to register-based studies on SSRi use and risk  of miscarriage” 
• Lau Caspar Thygesen, University of Southern Denmark, National Institute of  Public Health. “Use of detailed survey data to evaluate the influence of unmeasured  confounding in nationwide register-based studies”  

14.15-14:45 Coffee and general assembly (In Danish)  

14:45-15:15 Poster session  

15:15-16:45 Session 3  

• Onyebuchi Arah, Department of Epidemiology, UCLA Fielding School of Public  Health. “Outlines of various forms of bias analysis for uncontrolled confounding in  observational research – state of the art, and future directions” 
• Sonja Swanson, Department of Epidemiology, Erasmus MC. “The placement of  instrumental variable analyses in an epidemiologist’s toolbox” 

16.45-17:00 Rounding up