Event for expert public only
Jan van den Brand, Nijmegen, the Netherlands
Berlin is home to many epidemiologists, but there aren’t many local platforms for us to connect, learn new methods, and discuss current issues in the field. The Berlin Epidemiological Methods Colloquium (BEMC) seeks to fill this gap via interactive monthly BEMC Talks and BEMC JClub.
The foundations of personalized medicine rest on the accurate prediction of disease course before and after treatment. Patients with chronic diseases have many biomarkers measured at frequent intervals at the out-patient department of a hospital. Moreover, measurements are increasingly taken longitudinally by patients themselves for example using mobile devices. However, such longitudinal data in healthcare remains untapped, as most current prediction models only use cross-sectional measurements and time-to-event data. On the other hand, state-of-the-art joint models that combine longitudinal and time-to-event data show great potential for personalized medicine. The R-package JMBayes by Rizopoulos and the lcmm package by Proust-Lima made the technology widely available and spurred further development of joint models for multiple longitudinal biomarkers, and multiple outcomes. However, developing a joint model is still not straightforward. In this talk I will offer an introduction to joint modeling and the rationale behind the technology. Next, I will go over some of the basic steps required to fit and evaluate a joint model, finally I will discuss common issues faced when building a joint model. In the discussion we could talk about some of the future prospects of joint modeling and prediction modeling in general.
Organizational and administrative matters
Jan van den Brand, Radboud University Nijmegen Medical Center
Berlin Epidemiologic Methods Colloquium (BEMC)
16:00 - 17:30 Uhr
Hertwig–Hörsaal, Charité Campus Mitte
(Above the CCM Medical Library “Zweigbibliothek”)
or visit the BEMC Website to register.
Map: https://goo.gl/maps/Ed27GBYXeJkjrYyj8 (Look for our signs! It’s the same entrance as the CCM Medical Library, 1st floor)