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Registration opens August 15th at www.idwsds.org.
Tuesday October 6, 2026 10:00 - 11:00 UTC
The STRATOS (STRengthening Analytical Thinking for Observational Studies) Initiative is an international collaboration of statistical and methodological experts dedicated to improving the design, conduct, analysis, and reporting of biomedical and observational research. Through accessible guidance documents, recommendations, and educational resources, STRATOS seeks to bridge methodological advances and statistical practice.
Presentations illustrate diverse approaches to improving research quality, including the development of international recommendations for analyzing patient-reported outcomes in oncology trials, innovative strategies for teaching Initial Data Analysis (IDA), consensus-based development of guidance for statistical analysis plans in observational studies, and principled approaches to defining estimands and interpreting quality-of-life outcomes. These examples demonstrate how statistical thinking can improve the transparency, reproducibility, relevance, and interpretability of scientific research.
Together, these talks demonstrate the impact of international collaboration, interdisciplinary research, translating complex statistical concepts into practical tools for researchers. The session also highlights the important leadership role of women statisticians in shaping methodological standards, educational initiatives, and research practices.
Speakers
avatar for Marianne Huebner

Marianne Huebner

Michigan State University
Marianne Huebner is Professor of Statistics and Director of the Center for Statistical Training and Consulting (CSTAT) at Michigan State University, USA. Her research focuses on statistical methodology for improving transparency, reproducibility, and quality in health and observational... Read More →
avatar for Saskia Le Cessie

Saskia Le Cessie

Leiden University Medical Centre
Prof. Saskia le Cessie is a medical statistician working at the departments of Clinical Epidemiology and Biomedical Data Sciences of Leiden University Medical Center. Her research in medical statistics and epidemiological methods involves (1) collaboration in research projects of... Read More →
avatar for Els Goetghebeur

Els Goetghebeur

Ghent University
Els Goetghebeur is Professor of Statistics at Ghent University, Belgium, and a leading researcher in causal inference and biostatistical methodology. She co-chairs the Causal Inference Topic Group of the STRATOS Initiative and has contributed extensively to methodological research... Read More →
avatar for Lara Lusa

Lara Lusa

University of Primosrka
Lara Lusa is a professor of Statistics at the Faculty of Mathematics, Natural Sciences and Information Technologies of the University of Primorska, Slovenia and Institute for Biostatistics and Medical Informatics of the University of Ljubljana, Slovenia. Her current research interests... Read More →
Chairs/Hosts
avatar for Marianne Huebner

Marianne Huebner

Michigan State University
Marianne Huebner is Professor of Statistics and Director of the Center for Statistical Training and Consulting (CSTAT) at Michigan State University, USA. Her research focuses on statistical methodology for improving transparency, reproducibility, and quality in health and observational... Read More →
Organizers
avatar for Marianne Huebner

Marianne Huebner

Michigan State University
Marianne Huebner is Professor of Statistics and Director of the Center for Statistical Training and Consulting (CSTAT) at Michigan State University, USA. Her research focuses on statistical methodology for improving transparency, reproducibility, and quality in health and observational... Read More →
Tuesday October 6, 2026 10:00 - 11:00 UTC
Zoom Room #1

Attendees (7)


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