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Institut für Medizinische Biometrie
und Statistik (IMBI)

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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

Prof. Dr. Riccardo De Bin

University of Oslo, Department of Mathematics

Detection of influential points as a byproduct of resampling‐based variable selection procedures

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. 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

Prof. Dr. Casey Rebholz

Johns Hopkins University Baltimore

Serum Levels of 1,5-Anhydroglucitol and Risk of Incident End-Stage Renal Disease in the Atherosclerosis Risk in Communities (ARIC) Study: An Application of Structural Equation Modeling

Dr. Christine Gräfin zu Eulenburg, Karl Wegscheider

Universität Hamburg

Selection bias in on-treatment analyses: results from the Serve-HF study

Madlen Gebauer and Jan Beyersmann

Institute of Statistics, Ulm University

Nested case-control designs in a subsequent event setting

Dr. Riccardo De Bin

Medizinische Informationsverarbeitung, Biometrie und Epidemiologie - Schwerpunkt Biometrie, Ludwig-Maximilians-Universität München

On the use of different strategies to combine clinical and high-throughput omics predictors in a prediction model

Prof. Dr. Tim Friede

Department of Medical Statistics, University Medical Center Göttingen

Exploratory and confirmatory subgroup analyses in clinical trials

Prof. Dr. Markus Scholz

Institut für Medizinische Informatik, Statistik und Epidemiologie, Universität Leipzig

On the molecular-genetic research program of the LIFE study

Bella Vakulenko-Lagun

Department of Statistics, The Hebrew University of Jerusalem

What could be done with prevalent data in the illness-death model?

Guiliana Cortese

Department of Statistical Sciences, Padua University

Prediction Models for Competing Risks with time-dependent covariates

 

Christian Hennig

University College London

Measurement of quality in cluster analysis

Prof. Dr. med. Antje Timmer

Fakultät VI, Department für Versorgungsforschung, Carl von Ossietzky Universität Oldenburg

„Alte Schläuche, neue Kühe“ - Versorgungsforschung und klinische Epidemiologie.

Ralf Bender, Stefan Lange

Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen (IQWiG)

Analyse unerwünschter Ereignisse im Rahmen der Nutzenbewertung von Arzneimitteln.

Prof. Dr. Rolf Holle

Helmholtz Zentrum München

Besonderheiten ökonomischer RCTs am Beispiel der KORINNA-Studie

 

Dr. Isabella Zwiener

Universität Mainz

Building prognostic gene signatures with RNA-Seq data

Prof. Dr. Joachim Röhmel

Systematische Übersichtsarbeiten zur „ethischen“ Literatur. Konzeptionelle und praktische Herausforderungen

Prof. Dr. Werner Vach

Über die Sinnhaftigkeit der gesetztlichen Vorgaben zur Quantifizierung und Kategorisierung des Zusatznutzens bei Arzneimitteln

Prof. Hans van Houwelingen

Leiden University Medical Center

Dynamic prediction of survival with clinical and genomic data

Anna Nachtnebel

Ludwig Boltzmann Institut für Health Technology Assessment

Evaluation von Diagnostika aus der HTA- Perspektive

Georg Heinze

Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Austria

Nonlinear interactions, confounding, and missing values: an interesting case study

 

Prof. Hans C. van Houwelingen, Leiden University Medical Center

Frailties in multi-state models: Are they identifiable? Do we need them?

Raphael Porcher

Département de Biostatistique et Informatique Médicale, Hôpital Saint Louis Paris

Adaptive and flexible designs

David Siegmund

Stanford University

Mapping Quantitative Traits

Stijn Vansteelandt

Department of Applied Mathematics and Computer Science, Ghent University, Belgien

Marginal Structural Models for the effect of ICU-acquired nosocomial pneumonia on survival.

Anne-Laure Boulesteix

Sylvia Lawry Centre for Multiple Sclerosis Research, München

Hybrid classifiers based on clinical predictors and high-dimensional microarray data using PLS and random forests

Marcel Wolber

Basel Institute for Clinical Epidemiology, University Hospital Basel, Switzerland

Two-stage Randomization Designs in Drug Development

Stéphane Hugonnet

University of Geneva Hospitals, Switzerland, Infection control program

Nosocomial infection: a look into risk factors and methodological issues

Dr. Laura Antolini

Universita of Milano-Bicocca, Dipartimento di medicina clinica prevenzione e biotecnologie sanitarie

Explained Variation and Discrimination Measures for Censored Survival Data

Dr. Martin Bootsma

Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College London

Estimating transmission parameters for infectious diseases in small hospital units

Dr. Donna Pauler Ankerst

Research Scientist Institute for Medical Informatics, Biometry and Epidemiology; University of Munich

Joint statistical models for longitudinal prostate-specific antigen (PSA) and time of prostate recurrence: do they improve prediction of recurrence for new patients?

Dr. Guido Knapp

Fachbereich Statistik, Universität Dortmund

Neuere statistische Methoden in der Meta-Analyse