Seminars & Events

Friday, March 23, 2018, 12:00-13:00
The Clinical Epidemiology Program presents
Multi-state models to avoid common survival biases in clinical epidemiology
Speaker: Prof. Dr. Martin Wolkewitz
Institute of Medical Biometry and Statistics,
Division Methods in Clinical Epidemiology,
Faculty of Medicine and Medical Center -
University of Freiburg, Germany
Location: General campus – Centre for Practice-Changing Research (CPCR), seminar room L1111 (host)

Civic campus - Admin Services Building (ASB), 2nd floor, conference room 2-018

Watch Online: (link will not work in firefox)

    Learning objectives:

      • to understand common and avoidable survival biases such as immortal-time, length or competing risks bias in clinical epidemiology
      • to perform basic multi-state model analyses
      • to repair biased values from published reports

      Martin Wolkewitz, mathematician and epidemiologist, is leading the division 'Methods in Clinical Epidemiology' which belongs to the Institute of Medical Biometry and Statistics, Freiburg, Germany. He is the group leader of six mathematicians and two health economists. Our main research interests include statistical modelling in clinical epidemiology, bias evaluation, health-care cost evaluation, risk communication, advanced survival analysis (such as multistate models, competing risk models) and study designs with applications in hospital-acquired infections, antimicrobial resistance, influenza, oncology and society.

      Clinical Epidemiology Program Rounds



      For more information, contact

      Please note that OHRI seminars are open to all members of OHRI and partner institutions. Members of the general public are asked to contact the communications office (613-737-8899 x 73325; for more information about the research presented at OHRI seminars.