Archiv
Prof. Dr. Anne-Laure Boulesteix
IBE Ludwigs-Maximilians-University München
On random forests, omics data and benchmark studies
Jon Michael Gran
Associate Professor at the Institute of Basic Medical Sciences, University of Oslo
Estimating causal effects in non-Markov multi-state models
Dr. Katharina Schultebraucks
NYU School of Medicine, Department of Psychiatry
Identifying early risk factors for PTSD - a machine learning approach
Dr. James A. Hanley
McGill University Montreal
Match or model? sample or entire base? Statistical strategies in etio‐, dia‐, and pro‐gnostic research
Mark Baillie
Novartis, Basel
How do we make better graphs? Effective visual communication for the quantitative scientist
Prof. Dr. Riccardo De Bin
University of Oslo, Department of Mathematics
Detection of influential points as a byproduct of resampling‐based variable selection procedures
Dr. Tibor Schuster
Mc Gill.CA, Department of Family Medicine
Non-collapsibility: the root of all evil when estimating and interpreting marginal hazard ratios.
Georg Heinze
Medical University of Vienna
Prediction and explanation in studies with rare events: problems and solutions.
Georg Heinze, Christine Wallisch
Medical University of Vienna, Center for Medical Statistics, Informatics and Intelligent Systems
Variable selection – a review and recommendations for the practicing statistician.
Prof. Micha Mandel
Department of Statistics, The Hebrew University of Jerusalem
The illness–death model under cross-sectional sampling.
Vivian Viallon
Nutritional Methodology and Biostatistics Group (NMB) International Agency for Research on Cancer World Health Organization
Using structural causal models to identify biases in standard epidemiological analyses.
Prof. Dr. Reinhard Meister
Beuth Hochschule für Technik Berlin
Prof. Dr. Heiko Becher
Universitätsklinikum Hamburg-Eppendorf
Methods to estimate the number of lung cancer cases caused by passive smoking in Germany
Prof. Dr. Martin Schumacher
11 Dinge, die man bei der Analyse biomedizinischer Daten unbedingt vermeiden sollte
Prof. Dr. Harald Binder
Künstliche Intelligenz, Deep Learning und die Rolle der Biometrie
Itai Dattner
Department of Statistics, University of Haifa, Israel
Statistical learning of age-dependent dynamics from incidence data
Walter Zingg
University of Geneva
Assessing the burden of healthcare-associated infection by prevalence surveys
Dr. Alison Abraham, PhD
The Johns Hopkins University School of Medicine
Clinical care practice and the cohort study: moving from observation to intervention
Dr. Steffen Unkel
Institut für Med. Statistik, Universitätsmedizin Göttingen
Statistical Methods for Outbreak Detection
Dr. Benjamin Blümel
Institut für Mikrobiologie und Hygiene, Universitätsklinikum Freiburg
Microbiological Hospital Data from the Medical Center Freiburg
Prof. Dr. André Scherag
Universitätsklinikum Jena
Methodological challenges of hospital-wide nosocomial infection monitoring within the ALERTS study - an example of our ongoing work within the "Center for Sepsis Control and Care" (CSCC)
Yessica Fermin
Abt. Statistik, Uni Dortmund
Nonparametric Bayesian analysis of dynamic protein-networks in heterogeneous cell populations
Prof. Dr. Meinhard Kieser
Medizinische Biometrie und Informatik, Universitätsklinikum Heidelberg
Phase-II-Studien in der Onkologie – Ist Simons optimales Design das Optimum?
Univ.‐Prof. Dr. med. Rafael Mikolajczyk
Helmholtz Zentrum für Infektionsforschung, Braunschweig
Insights from network modelling of the spread of pathogens between hospitals
Workshop: Pseudovalues und Supermodels
Alina Nicolaie (RIVM, Netherlands)
Dynamic pseudo-observations: A robust approach to dynamic prediction in competing risks
Daniela Zöller (Uni Mainz)
Using pseudo-values and simultaneous variable selection to extract a core set of variables for dynamic prediction models
Maja von Cube (Uni Freiburg)
Dynamic prediction approach to analyse the population-attributable fraction of hospital-acquired infections
Harriet Sommer (Uni Freiburg)
The cure-death model and its application to observational studies