معرفی
Prof. Stef van Buuren is a Professor of Statistical Analysis of Incomplete Data at Utrecht University's Faculty of Social and Behavioural Sciences, Department of Methodology and Statistics. He also serves as Head of Statistics at TNO Quality of Life in Leiden. His expertise spans missing data techniques, longitudinal analysis, and early child development. He developed the MICE imputation method and the D-score for child development assessment. His research focuses on applying statistical methods in public health, growth monitoring, and interventions for children.
Education:
- Ph.D. in Social Sciences, Utrecht University (1990)
- MA in Psychology, Leiden University (1986)
Research Interests:
- Missing data imputation and methodology
- Child development measurement (D-score, GSED)
- Public health analytics and growth monitoring
- Longitudinal data analysis
- Statistical computing and software development
Articles Trends: Recent work emphasizes global child development assessment tools, neonatal outcomes of preterm birth, and methodological advancements in handling missing data. His publications bridge statistical theory with practical applications in healthcare and epidemiology.
Grants & Advising: Advised multiple international studies on child development and preterm birth outcomes. Collaborates with global health organizations to develop scalable assessment tools. Active in training researchers in statistical methodology through software like 'mice' and 'D-score' packages.
Labs/Teams: Leads statistical research teams at Utrecht University and TNO, focusing on translational data science for public health challenges.
