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Stef van Buuren is a global leader in the analysis of incomplete data and the author of the book "Flexible Imputation of Missing Data," which applies missing data techniques to various data fields. He has pioneered the Multiple Imputation by Chained Equations (MICE) technique, which is rapidly gaining popularity among international users. Van Buuren is involved with TNO, where he develops new tools to monitor the growth and development of children. His current research focuses on creating new technologies for personalized predictions and interventions in health, emphasizing the importance of statistical analysis in understanding incomplete data.
Department of Psychology