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10:00 UTC
S111- Strengthening Statistical Practice Through Collaboration: Perspectives from Women Leaders in STRATOS
Tuesday October 6, 2026 10:00 - 11:00 UTC
Speakers
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...
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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...
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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...
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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...
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Chairs/Hosts
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
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 →