معرفی
Constanza Andaur Navarro is an Assistant Professor in the Department of Data Science and Biostatistics at the Julius Center, University Medical Centre Utrecht, Netherlands. Her work centers on methodologies for Real-World Data to ensure robust, 'fit-for-purpose' evidence generation in clinical research.
- PhD in Epidemiology from Utrecht University (thesis: Quality of Machine Learning Models; transportability to clinical settings)
Her research spans machine learning and biostatistical frameworks to evaluate data quality and clinical applicability. She contributes to ConcePTION, a European public-private partnership, and co-led WP7 on data governance, ethics, and quality standards. Key publication themes include:
- 2025 – Probast+ai: bias assessment in predictive modeling
- 2024 – Spin-pm: mitigating misrepresentation in data reporting
- 2023 – Overinterpretation in oncology prediction models and systematic reviews of ML-based studies
She collaborates with industry to advance real-world evidence frameworks, aligning with the Infection & Immunity strategic program at UMC Utrecht. Contact: candaurn@umcutrecht.nl.
