6th CEN Conference

Session

Statistical hypothesis testing 2

19 May 2026, 13:45

Room 13 A

Conveners

Statistical hypothesis testing 2

• Frank Bretz (Novartis)

140. Test of independence in a three-level model

Anna Szczepańska-Alvarez (Poznań University of Life Sciences)

19/05/2026, 13:45

oral presentation

In this talk we present a statistical approach to evaluate the relationship between variables observed in a two-factors experiment. We consider a three-level model with covariance structure ${\bf \Sigma} \otimes {\bf \Psi}_1 \otimes {\bf \Psi}_2$, where ${\bf \Sigma}$ is an arbitrary positive definite covariance matrix, and ${\bf \Psi}_1$ and ${\bf \Psi}_2$ are both correlation matrices with...

72. Testing Independence in Functional Data Using the Distance of Mean Embedding

Jędrzej Wydra (Adam Mickiewicz University)

19/05/2026, 14:03

oral presentation

Testing independence between functional observations remains a fundamental challenge in modern statistics, particularly in settings involving high-dimensional or infinite-dimensional random objects. The presented work introduces a new framework for independence testing in functional data based on the distance of mean embedding (DIME), a metric recently proposed as a flexible alternative to...

168. Alert identification in time-dose-response data

Lucia Ameis (Institute of Medical Statistics and Computational Biology (IMSB), Faculty of Medicine, University of Cologne)

19/05/2026, 14:21

oral presentation

Evaluating a response variable in relation to exposure time or dose is a pivotal objective in the assessment of a compound's effect, particularly when determining toxicity in pre-clinical research or pharmacokinetics in clinical trials. The determination of an alert, such as the EC50 value, at which a pre-specified threshold of the response variable is crossed, is an important tool for the...

184. Assessing the Impact of Distributional Assumption Violations on Outlier-Detection Methods in Clinical Audits

Anqi Sui (University College London)

19/05/2026, 14:39

oral presentation

Introduction
Monitoring the clinical performance of healthcare units (e.g. hospitals, surgeons) is the main component for national audits, enabling identification of ‘outlier’ units whose clinical performance, e.g. in-hospital mortality, deviates significantly from expected performance. Accurate detection and subsequent management of outliers are critical for improving healthcare quality. ...