6th CEN Conference

Session

Open and reproducible research 1

21 May 2026, 15:45

Room 13 A

Conveners

Open and reproducible research 1

• Susanne Strohmaier (Medical University of Vienna)

62. Addressing the researchers' degree of freedom using multiple marginal models

Anne-Laure Boulesteix (Ludwig-Maximilian University Munich and Munich Center of Machine Learning)

21/05/2026, 15:45

oral presentation

For a given research question and observational dataset, there are often numerous ways to specify the data analysis pipeline that leads from raw data to the result of interest. Data analysts must make a series of choices concerning data preprocessing, variable definitions, and statistical model specifications. For example, analysis pipelines may differ in their inclusion or exclusion criteria...

3. OMOP ETL Pipeline Implementation for Tuberculosis Data Standardisation at Douala General Hospital, Cameroon

Brenda Yankam Mbouamba (Ruhr University Bochum)

21/05/2026, 16:03

oral presentation

Douala General Hospital, a first-class healthcare facility in Cameroon, serves thousands of patients yearly through its multidisciplinary medical teams. The hospital hosts numerous patient records that hold significant potential for public health research. However, most records remain paper-based, limiting their accessibility and reuse. In departments such as pulmonology, patient data are...

67. Living Synthetic Benchmarks: A Neutral and Cumulative Framework for Simulation Studies

František Bartoš (University of Amsterdam)

21/05/2026, 16:21

oral presentation

Simulation studies are widely used to evaluate statistical methods. However, new methods are often introduced and evaluated using data-generating mechanisms (DGMs) devised by the same authors. This coupling creates misaligned incentives, e.g., the need to demonstrate the superiority of new methods, potentially compromising the neutrality of simulation studies. Furthermore, results of...

20. How many subgroup analyses are false (-positives or negatives)? – Evidence from p-value distributions of interaction tests and mixture models in diabetes research

Oliver Kuss (German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Institute for Biometrics and Epidemiology)

21/05/2026, 16:39

oral presentation

Subgroup analyses are frequently reported results from randomized trials. They help to identify heterogeneity in the average treatment effect, which occurs when this average effect varies across different categories of a subgroup factor, like age, sex, or disease severity. If treatment effects are different across subgroups, this information can help to personalize treatment decisions....

74. Improving clinical and methodological research in the health sciences – on the crucial role of reporting guidelines and structured reporting

Willi Sauerbrei (Institute of Medical Biometry and Statistics, Medical Center - University of Freiburg)

21/05/2026, 16:57

oral presentation

Background:
For many years, health research has faced substantial criticism regarding its quality. Appropriate reporting guidelines are available with the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) network acting as an umbrella organization to address reporting issues in health sciences. Nevertheless, many reviews have shown that reporting quality remains poor, which...