Documents of the Annual General Meeting 2017 have been added
Photos of the Spring Event have been added
The BMS/ANed PhD Day for PhD students in Biostatistics in the Netherlands will take place on October 10 2017. See below for more information.
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We are pleased to announce that the BMS/ANed PhD Day for PhD students in Biostatistics in the Netherlands will take place in the Erasmus MC, Rotterdam on Tuesday October 10th 2017.
The goal of this interactive day is to give PhD students valuable tips to survive their PhD and plan their career afterwards through presentations and a Q&A session.
More importantly, this day will be a great opportunity to meet PhD students from other universities and share experiences!
Detailed information on the program and registration will follow.
On the 24th of June, during the Spring meeting, Hein Putter was awarded the Hans van Houwelingen Award 2016. The award is given for the paper:
Putter, H. and Van Houwelingen, H.C. (2015). Dynamic frailty models based on compound birth-death processes. Biostatistics, 16, 550-564
They justify their choice with the following:
"This is a very innovative paper that proposes a time-dependent frailty model with a new class of frailty processes. The work is theoretically compelling and from a more applied point of view, the impact of the frailty distribution on marginal hazard and hazard ratio is also highlighted. It has the potential to inspire more applied work."
In addition the jury has awarded an honoray mention to Dimitri Rizopoulos for the paper
Rizopoulos, D., Hatfield, L.A., Carlin, B.P. and Takkenberg, J.J.M. (2014). Combining dynamic predictions from joint models for longitudinal and time-to-event data using Bayesian model averaging. Journal of the American Statistical Association, 109, 1385-1397
with the following reasoning:
"This is a comprehensive presentation of flexible joint models for individual dynamic prediction with innovative proposal for doing prediction using time-dependent Bayesian model-averaging. Well written paper with interesting applications and simulations illustrating the usefulness of this methodology."