6th CEN Conference

Session

Statistical modelling 2

20 May 2026, 10:45

Room 13 A

Conveners

Statistical modelling 2

• Kirsten Schorning (TU Dortmund University)

63. Comparison of statistical methods for dealing with deviations in concentration-response curves

Huiying Zhou Zhou (TU Dortmund University)

20/05/2026, 10:45

oral presentation

Concentration-response curves model the relationship between a concentration of a compound and the response it elicits in a biological system. Here, the viability of cells is considered as response. Typically, parametric models are fitted to the data. Modeling this relationship accurately is crucial for understanding the safety and potency of compounds, since one of the applications of these...

121. A comparison of variable selection approaches for spline regression

Franziska Kappenberg (University of Bonn, Medical Faculty, Institute for Medical Biometry, Informatics and Epidemiology)

20/05/2026, 11:03

oral presentation

Multivariable regression models are a powerful statistical tool with an innumerable number of applications in explanatory and predictive settings. One key challenge is variable selection —deciding which variables to include or exclude, particularly when dealing with large numbers of candidate predictors. In biomedical data, non-linear relationships between the candidate predictors and the...

117. A Clustered-Metric Simulation Study Comparing Flexible Regression Techniques for Non-Linear Associations

Theresa Ullmann (Institute of Clinical Biometrics, Center for Medical Data Science, Medical University of Vienna)

20/05/2026, 11:21

oral presentation

In regression modeling, relationships between continuous predictors and outcomes are often assumed to be linear, yet allowing for non-linear associations can substantially improve model performance. A variety of methods for flexible regression—such as fractional polynomials and spline-based approaches—have been proposed to model non-linear associations. However, comprehensive and systematic...

81. Detection of changes in time series of preclinical measurements for selecting Virtual Control Groups

Wiebke Dammann (TU Dortmund University - Department of Statistics)

20/05/2026, 11:39

oral presentation

Virtual Control Groups (VCGs) represent an approach in which historical control data (HCD) from previous animal studies are used to replace animals in current control groups. The VICT3R project (Developing and implementing VIrtual Control groups To reducE animal use in toxicology Research), funded by the Innovative Health Initiative (IHI), aims to reduce the use of animals in toxicological...

163. Limitations and Challenges of Mixed Models Repeated Measures (MMRM) Analysis

Moses Mwangi (Kenya Medical Research Institute, Kenya; University of Hasselt, Belgium)

20/05/2026, 11:57

oral presentation

Repeated measures data are commonly encountered in a wide variety of disciplines including business, agriculture and medicine. They entail collection of multiple measurements from the same unit or subject over time, space or both. The fact that observations from the same unit will not be independent poses particular challenges to the statistical procedures used for the analysis of such data....