"CEN 2023"

Virtual Issues
17 August 2024
22 June 2025

This Special Collection contains papers linked to CEN2023, the 5th Conference of the Central European Network. The conference theme “From Data to Knowledge. Advancing Life Sciences.” highlights the special and important role played by biometricians (statisticians and data scientists) when extracting knowledge from data with the ultimate goal of advancing life sciences. The papers in this Special Collection present and discuss recent developments in biometry with its applications in life sciences, medicine, pharmacology, research and development in the pharmaceutical industry, environmental statistics, and genomics.

Guest Editors: Werner Brannath, Frank Bretz, Hans Ulrich Burger, Malgorzata Graczyk, Annette Kopp-Schneider

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Table of Contents

Open Access

Outcomes Truncated by Death in RCTs: A Simulation Study on the Survivor Average Causal Effect

Stefanie von Felten,  Chiara Vanetta,  Christoph M. Rüegger,  Sven Wellmann,  Leonhard Held, 
Open Access

Two-Arm Crossover Randomized Controlled Trial Versus Meta-Analysis of N-of-1 Studies: Comparison of Statistical Efficiency in Determining an Intervention Effect

Anna Eleonora Carrozzo,  Georg Zimmermann,  Arne C. Bathke,  Daniel Neunhaeuserer,  Josef Niebauer,  Stefan T. Kulnik, 
Open Access

High-Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression

Lukas Burk,  Andreas Bender,  Marvin N. Wright, 
Open Access

Oncology Clinical Trial Design Planning Based on a Multistate Model That Jointly Models Progression-Free and Overall Survival Endpoints

Alexandra Erdmann,  Jan Beyersmann,  Kaspar Rufibach, 
Open Access

To Tweak or Not to Tweak. How Exploiting Flexibilities in Gene Set Analysis Leads to Overoptimism

Milena Wünsch,  Christina Sauer,  Moritz Herrmann,  Ludwig Christian Hinske,  Anne-Laure Boulesteix, 

Addressing Class Imbalance in Bayesian Classification Through Posterior Probability Adjustment

Vahid Nassiri,  Fetene Tekle,  Kanaka Tatikola,  Helena Geys, 
Open Access

Inverse-Weighted Quantile Regression With Partially Interval-Censored Data

Yeji Kim,  Taehwa Choi,  Seohyeon Park,  Sangbum Choi,  Dipankar Bandyopadhyay, 
Open Access

Detecting Interactions in High-Dimensional Data Using Cross Leverage Scores

Sven Teschke,  Katja Ickstadt,  Alexander Munteanu, 
Open Access

Firth-Type Penalized Methods of the Modified Poisson and Least-Squares Regression Analyses for Binary Outcomes

Satoshi Uno,  Hisashi Noma,  Masahiko Gosho, 
Open Access

A Novel Method for Nonparametric Statistical Inference for Niche Overlap in Multiple Species

Patrick B. Langthaler,  Kai-Philipp Gladow,  Oliver Krüger,  Jonas Beck, 
Open Access

Post-Estimation Shrinkage in Full and Selected Linear Regression Models in Low-Dimensional Data Revisited

Edwin Kipruto,  Willi Sauerbrei, 
Open Access

Investigating the Heterogeneity of “Study Twins”

Christian Röver,  Tim Friede, 
Open Access

Random Survival Forests With Competing Events: A Subdistribution-Based Imputation Approach

Charlotte Behning,  Alexander Bigerl,  Marvin N. Wright,  Peggy Sekula,  Moritz Berger,  Matthias Schmid, 
Open Access

Years of Life Lost to COVID-19 and Related Mortality Indicators: An Illustration in 30 Countries

Valentin Rousson,  Isabella Locatelli,