6th CEN Conference

Session

YSS1 (ROeS)

20 May 2026, 10:45

Room 1 B

Conveners

YSS1 (ROeS)

• Andrea Berghold (Medical University of Graz)

100. Navigating Multiplicity in Multiverse Analyses: A Simulation Study and Case Application to Lung Cancer Staging Using SEER Data

Gloria Brigiari (Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova)

20/05/2026, 10:45

oral presentation

Multiverse analysis offers a powerful framework to assess the robustness of statistical inferences across a spectrum of plausible analytical choices. However, when applied to predictor selection, especially in high-dimensional settings, the issue of multiplicity becomes critical. In this study, we present a comprehensive simulation framework to evaluate the impact of different multiple testing...

99. Modeling Antibody Kinetics in Pregnant and Lactating Women Following COVID-19 and Tdap Vaccination

Lukas Frank Buchhäusl (Medical University of Graz)

20/05/2026, 11:03

oral presentation

Despite the availability of vaccines, infectious diseases such as COVID-19, tetanus, diphtheria, and pertussis remain persistent public health threats, particularly among vulnerable populations including pregnant and lactating women. As most research on protection against infectious diseases to date has focused on antibody-mediated responses, understanding how antibodies behave over time...

88. Edgington's Method for Random-Effects Meta-Analysis

David Kronthaler (Epidemiology, Biostatistics and Prevention Institute, Department of Biostatistics, University of Zurich)

20/05/2026, 11:21

oral presentation

Meta-analysis can be formulated as the combination of p-values from multiple studies into a joint p-value function, from which inference for the average effect, including point estimates and confidence intervals, can be derived. We extend Edgington's p-value combination method for random-effects meta-analysis by treating the combined p-value function as a confidence distribution of the average...

102. Evaluation of cancer screening programmes: integration of the biological tumour growth model into the MOCCI method

Ema Požek (Faculty of Medicine, University of Ljubljana)

20/05/2026, 11:39

oral presentation

Breast cancer remains one of the most common cancers among women worldwide. Breast cancer screening programmes aim to catch the disease at its early phase, by regularly examining asymptomatic women for signs of cancer. The rationale is straightforward: early detection, before symptoms onset, offers patients broader treatment options and improves the chances of recovery. To evaluate the cancer...

212. Comparative Analysis of Classification Models for Pharmaceutical Permeability Prediction

Jana Habus-Korbar (Student at University of Zagreb, Faculty of Science, Department of Mathematics)

20/05/2026, 11:57

oral presentation

In this study, PERMY data set taken from Pharmaceutical Statistics Using SAS: A Practical Guide is analyzed. It describes permeability of cell membranes, which is the ability of a molecule to cross a membrane. Biological structures are a complex layer of molecules and proteins. Substances require a particular structure to pass through the target membrane and drugs that fail to demonstrate...