Professor Hein Putter
Hein’s research interests include survival analysis - in particular competing risks and multi-state models, dynamic prediction, and frailties – as well as dynamical models in HIV and statistical genetics. He collaborates closely with the Department of Surgery and the Department of Oncology of the Leiden University Medical Center, and with international organizations like the European Organisation for the Research and Treatment of Cancer (EORTC) and the European Group for Blood and Marrow Transplantation (EBMT). Hein serves as associate editor of Statistics in Medicine. He was one of the initiators of the IBS Channel Network. Together with Hans van Houwelingen, he wrote the book “Dynamic Prediction in Clinical Survival Analysis”. He also co-wrote the mstate package for estimation and prediction in non- and semi-parametric multi-state and competing risks models. In 2012, he was an invited speaker at the XXVIth International Biometric Conference in a session about “The landmark approach to event history analysis”.
Doctor Dimitris Rizopoulos
Dimitris primarily works in survival analysis – especially the analysis of repeated measurements of biomarkers with time-to-event data – as well as in the related fields of mixed models, missing data analysis, latent variable modelling and statistical computing. He currently serves as an Associate Editor for Biometrics and Biostatistics, and has been a guest editor for a special issue in joint modelling techniques in Statistical Methods in Medical Research. Dimitris wrote the book “Joint Models for Longitudinal and Time-to-Event Data, with Applications in R”. He developed the JM package for joint models for longitudinal and time-to-event data as well as the ltm package for latent variable models for item response theory analyses. He was invited to give a workshop about “Prospective Accuracy Measures in Joint Models for Longitudinal and Time-to-Event Data” at the 3rd International Biometric Society Channel Network Conference.