معرفی
Elise Dusseldorp is a Professor in Methodology and Statistics of Psychological Research at Leiden University's Faculty of Social and Behavioural Sciences. Her work focuses on statistical methodologies for healthcare applications, including predictive modeling and personalized medicine. She co-developed the QUINT software for analyzing treatment-subgroup interactions in clinical trials. Her research also addresses implementation science, particularly in optimizing healthcare interventions through evidence-based strategies. She has contributed to the development of the Determinants of Implementation Behavior Questionnaire (DIBQ), validated for assessing factors influencing healthcare professionals' adoption of evidence-based practices.
Key academic roles include leading research on statistical tools for clinical decision-making and behavioral determinants of healthcare implementation. She is affiliated with Leiden University's Psychology department and has collaborated on projects involving artificial intelligence in data science and open science initiatives.
