Modeling the Ratio of Gamma Distributed Random Variables using Frank's Copula

Moritz Berger¹, Nadja Klein², Matthias Schmid¹

1: Institute of Medical Biometry, Informatics and Epidemiology, Medical Faculty, University of Bonn; 2: Chair of Uncertainty Quantification and Statistical Learning, Research Center for Trustworthy Data Science and Security (UA Ruhr) and Department of Statistics (Technical University Dortmund)

Simplifying complex models: deselection for boosting distributional copula regression

Annika Strömer¹, Nadja Klein², Christian Staerk¹, Hannah Klinkhammer¹, Andreas Mayr¹

1: Department of Medical Biometrics, Informatics and Epidemiology, University Hospital Bonn, Germany; 2: Chair of Uncertainty Quantification and Statistical Learning, Research Center Trustworthy Data Science and Security (UA Ruhr) and Department of Statistics (Technische Universität Dortmund)

Random graphical model of microbiome interactions in related environments

Veronica Vinciotti¹, Ernst Wit², Francisco Richter²

1: University of Trento, Italy; 2: Università Svizzera italiana, Switzerland

Methods of Model selection for models with common parameters

Onur Gül, Kirsten Schorning

TU Dortmund, Germany

Comparing statistical methods for analyzing longitudinally measured ordinal outcomes in rare disease settings.

Martin Geroldinger^1,2, Johan Verbeeck³, Konstantin E. Thiel^1,2, Geert Molenberghs^3,4, Arne C. Bathke⁵, Martin Laimer⁶, Georg Zimmermann^1,2

1: Team Biostatistics and Big Medical Data, IDA Lab Salzburg, Paracelsus Medical University Salzburg, Austria; 2: Department of Research and Innovation, Paracelsus Medical University, Salzburg, Austria; 3: Data Science Institute (DSI), Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Hasselt University, Belgium; 4: Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KULeuven, Belgium; 5: Intelligent Data Analytics (IDA) Lab Salzburg, Department of Artificial Intelligence and Human Interfaces, Faculty of Digital and Analytical Sciences, Paris Lodron University of Salzburg, Austria; 6: Department of Dermatology and Allergology, Paracelsus Medical University, Salzburg, Austria

A transformation perspective on marginal and conditional models

Torsten Hothorn, Luisa Barbanti

Universität Zürich, Switzerland

Mixed-effects Additive Transformation Models with the R Package tramME

Balint Tamasi

University of Zurich, EBPI, Switzerland

A tool to detect nonlinearity and interactions in generalized regression models

Nikolai Spuck, Matthias Schmid, Moritz Berger

Institute for Medical Biometry, Informatics and Epidemiology, Medical Faculty, University of Bonn, Germany

Uncertainty Estimation in Nonlinear Models within the Profile Likelihood Framework

Tim Litwin, Clemens Kreutz

Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center – University of Freiburg, Germany

Bayesian nonlinear functional subspace shrinkage with application to gene expression dose-response data

Julia Christin Duda¹, Matthew Wheeler²

1: TU Dortmund University, Germany; 2: National Institute of Environmental Health Sciences, United States

Optimal Subsampling Design for Polynomial Regression

Torsten Reuter

Otto von Guericke University Magdeburg, Germany

Optimal design for identifying alert concentrations

Kirsten Schorning¹, Kathrin Möllenhoff²

1: TU Dortmund University, Dortmund, Germany; 2: Heinrich Heine University, Düsseldorf, Germany

Bias through endogenous time-varying covariates in the analysis of cohort stepped-wedge trials: a simulation study

Jale Basten¹, Daniel Claus¹, Katja Ickstadt², Nina Timmesfeld¹

1: Department of Medical Informatics, Biometry and Epidemiology, Ruhr-University Bochum, Germany; 2: Faculty of Statistics, TU Dortmund University, Germany

Estimating the conditional distribution in functional regression problems

Thomas Kuenzer¹, Siegfried Hörmann², Gregory Rice³

1: Medical University of Graz, Austria; 2: Graz University of Technology, Austria; 3: University of Waterloo, Canada

Using Item response theory for testing assumptions underlying clinical scores

Daniel Schulze, Ulrike Grittner

Charité - Universitätsmedizin Berlin, Germany

Comparing implants, hospitals and surgeons: lessons learned from the Swiss National Hip & Knee Joint Registry SIRIS

Christian Brand¹, Martin Beck², Lilianna Bolliger¹, Bernhard Christen³, Vilijam Zdravkovic⁴

1: Universität Bern, Switzerland; 2: Orthopädische Klinik Luzern; 3: Articon, Spezialpraxis für Gelenkchirurgie; 4: Kantonsspital St. Gallen

Comparing procedural quality indicators of health care across regions using restricted mean survival time

Hana Šinkovec^1,2, Walter Gall¹, Georg Heinze¹

1: Center for Medical Data Science, Medical University of Vienna, Austria; 2: Biotechnical Faculty, University of Ljubljana, Slovenia

Analysing PROM based quality of care indicators in care centers

Els GOETGHEBEUR

Ghent University, Belgium

Patient surveys for assessing medical treatment quality

Felix Weidemann

IQTIG, Germany

IPW-based publication bias adjustment in network meta-analysis with clinical trial registries

Ao Huang¹, Yi Zhou², Satoshi Hattori³

1: Department of Medical Statistics, University Medical Center Goettingen; 2: Beijing International Center for Mathematical Research, Peking University; 3: Department of Biomedical Statistics, Graduate School of Medicine, Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University

Implementation of the anchor-based indirect comparison method for equivalence margin derivation in biosimilar development

Claudia Hemmelmann¹, Jessie Wang², Rachid El Galta¹

1: Hexal AG, Germany; 2: Sandoz Pharmaceutical

Prognostic models for disease progression in people with multiple sclerosis – a systematic review and assessment of current methodological challenges

Begum Irmak On*¹, Kelly A. Reeve*², Joachim Havla³, Jacob Burns¹, Martina Gosteli⁴, Ulrich Mansmann¹, Ulrike Held²

1: Biometrics and Bioinformatics, Ludwig-Maximilians University, Germany; 2: Department Biostatistics, University of Zurich, Switzerland; 3: Institute of Clinical Neuroimmunology, LMU Hospital, Ludwig-Maximilians University Munich, Germany; 4: University Library, University of Zurich, Switzerland; * equal contribution

Investigating the heterogeneity between "study twins"

Christian Röver, Tim Friede

University Medical Center Göttingen, Germany

Estimation of treatment effects in early phase randomized clinical trials involving external control data

Heiko Götte¹, Marietta Kirchner², Johannes Krisam², Arthur Allignol³, Armin Schüler¹, Meinhard Kieser²

1: Merck Healthcare KGaA, Germany; 2: Institute of Medical Biometry, University of Heidelberg, Germany; 3: Daiichi Sankyo Europe GmbH

Robust incorporation of external information in two-arm trial hypothesis testing

Silvia Calderazzo, Manuel Wiesenfarth, Annette Kopp-Schneider

German Cancer Research Center, Germany

Augmenting randomized trials with real-world data: a simulation study evaluating methods for hybrid control arm analyses

Rafael Sauter¹, Benjamin Ackerman¹, Martina Fontana¹, Ignazio Craparo², Brian Hennessy¹

1: Johnson & Johnson; 2: Alira Health, Italy

Dynamic borrowing to minimize mean squared error and inference with Bayesian bootstrap

Jixian Wang¹, Ram Tiwari²

1: BMS, Switzerland; 2: BMS, US

Partial extrapolation in pediatric drug development using robust meta-analytic predictive priors, tipping point analysis and expert elicitation

Florian Voß¹, Morten Dreher², Elvira Erhardt², Heiko Müller¹, Oliver Sailer², Christian Stock¹

1: Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim, Germany; 2: Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany

Sample Size Re-estimation for the Wilcoxon-Mann-Whitney and Brunner-Munzel Test

Stephen Schüürhuis¹, Tobias Mütze², Georg Zimmermann³, Frank Konietschke¹

1: Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; 2: Statistical Methodology, Novartis Pharma AG, Basel, Switzerland; 3: Team Biostatistics and Big Medical Data, IDA Lab Salzburg, Paracelsus Medical University, Salzburg, Austria

Sample size recalculation in three-stage clinical trials

Björn Bokelmann¹, Geraldine Rauch¹, Jan Meis², Meinhard Kieser², Carolin Herrmann¹

1: Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin; 2: Institute of Medical Biometry, University Medical Center Ruprechts-Karls University Heidelberg

Sample size calculations for cluster randomised trials using assurance

Sarah Faye Williamson¹, Svetlana V. Tishkovskaya², Kevin J. Wilson³

1: Biostatistics Research Group, Newcastle University, UK; 2: Faculty of Health and Care, Lancashire Clinical Trials Unit, University of Central Lancashire, UK; 3: School of Mathematics, Statistics & Physics, Newcastle University, UK

May the power be with you? Influence of sample size calculation on replication success.

Collazo Anja, Danziger Meggie

Berlin Institute of Health, Germany

Researcher Degrees of Freedom in Power Analyses and Sample Size Planning

Nicole Ellenbach¹, Anne-Laure Boulesteix¹, Sabine Hoffmann², Bruno L. Cadilha³, Sebastian Kobold^3,4,5, Juliane C. Wilcke¹

1: Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians University of Munich, Munich, Germany; 2: Department of Statistics Ludwig-Maximilians University of Munich, Munich, Germany; 3: Center of Integrated Protein Science Munich and Division of Clinical Pharmacology, Department of Medicine IV, Klinikum der Universität München, Munich, Germany; 4: German Center for Translational Cancer Research (DKTK), Partner Site Munich, Germany; 5: Einheit für Klinische Pharmakologie (EKLiP), Helmholtz Zentrum München, German Research Center for Environmental Health (HMGU), Neuherberg, Germany

"Lots of time to think": Statistical Consultancy at Ciba-Geigy in the Early 1980s

Andrew Grieve

UCB Celltach, United Kingdom

Literature review of dose-response analyses in toxicology

Franziska Kappenberg¹, Jan G. Hengstler², Kirsten Schorning¹, Jörg Rahnenführer¹

1: TU Dortmund University, Germany; 2: IfADo, Germany

Hurdles and Signposts on the Road to Virtual Control Groups in Toxicity Studies

Lea A.I. Vaas¹, Alexander Gurjanov², Guillemette Duchateau-Nguyen³, Annika Kreuchwig², Hannes-Friedrich Ulbrich¹, Frank Bringezu⁴, Matteo Piraino⁵, Thomas Steger-Hartmann², eTRANSAFE Consortium⁶

1: Bayer AG, Research & Development, Pharmaceuticals, Research & Pre-Clinical Statistics; 2: Bayer AG, Research & Development, Pharmaceuticals, Investigational Toxicology; 3: Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences Roche Innovation Center Basel, Switzerland; 4: Merck Healthcare KGaA, Biopharma, Chemical & Preclinical Safety; 5: Data Lab for Research and Innovation, Organon SRL, Bucharest, Romania; 6: www.etransafe.eu/partners-etransafe/

The application of prediction intervals in pre-clinical statistics and toxicology using the R package predint

Max Menssen

Leibniz Universität Hannover, Germany

Improving Production Capacity and Asset Utilization of Biologics Drug Product Lines Through Simulation

Christian Schmid, Ilmari Ahonen

F. Hoffmann-La Roche AG, Switzerland

Collaborative forecasting of COVID-19 in Germany and Poland

Melanie Schienle^1,2, Daniel Wolffram^1,2, Johannes Bracher^1,2

1: Karlsruhe Institute of Technology, Germany; 2: Heidelberg Institute for Theoretical Studies

Improving short term forecasts of COVID-19 incidence with subnational epidemic indicators

Stefan Heyder, Thomas Hotz

TU Ilmenau, Germany

Predicting the unpredictable: the MOCOS large scale agent based epidemic model

Tyll Krueger, Marcin Bodych, Tomasz Ozanski, Radoslaw Idzikowski

Wroclaw University of Science and Technology, Poland

Strong effect of testing in containing Covid-19

Jan Mohring, Neele Leithäuser, Jaroslaw Wlazlo, Marvin Schulte, Johanna Münch, Maximilian Pilz

Fraunhofer ITWM, Germany

Multi-step immunity mechanism in ICM UW epidemic agent-based model (PDYN 1.5)

Jędrzej M. Nowosielski¹, Grzegorz Dudziuk¹, Magdalena Gruziel-Słomka¹, Karol Niedzielewski¹, Maciej Radwan¹, Antoni Moszyński¹, Jakub Zieliński¹, Rafał P. Bartczuk¹, Dominik Bogucki¹, Filip Dreger¹, Łukasz Górski¹, Jędrzej Haman¹, Artur Kaczorek¹, Jan Kisielewski², Bartosz Krupa¹, Marcin Semeniuk¹, Franciszek Rakowski¹

1: Interdisciplinary Centre for Mathematical and Computational Modelling University of Warsaw (ICM UW)), Warsaw, Poland; 2: Faculty of Physics, University of Bialystok, Bialystok, Poland

Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in Germany

Elisabeth Brockhaus¹, Johannes Bracher^1,2

1: Karlsruhe Institute of Technology, Germany; 2: Heidelberg Institute for Theoretical Studies

On the Impacts of the COVID-19 Pandemic on Mortality: Lost Years or Lost Days?

Valentin Rousson, Isabella Locatelli

Center for Primary Care and Public Health (Unisanté), University of Lausanne, Switzerland

Collaborative nowcasting of COVID-19 hospitalization incidences in Germany

Daniel Wolffram^1,2, Melanie Schienle^1,2, Johannes Bracher^1,2

1: Karlsruhe Institute of Technology, Germany; 2: Heidelberg Institute for Theoretical Studies

Systematic review on prevention and testing strategies for COVID-pandemic control in economic comparison

Noah Alessandro Castioni, Eva Herrmann

Goethe-Universität Frankfurt am Main, Germany

Bayesian Poisson Regression and Tensor Train Decomposition Model for Learning Mortality Pattern Changes during COVID-19 Pandemic

Wei Zhang, Antonietta Mira, Ernst C Wit

Università della Svizzera italiana, Switzerland