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Van Buuren is a global leader in the analysis of incomplete data. He is author of the book Flexible Imputation of Missing Data and applies his missing data techniques to data from many fields. His MICE technique is rapidly gaining a growing share of international users. At TNO he develops new tools to monitor growth and development of children. Currently he is working on new technologies for personalized predictions of interventions on health.
Stef van Buuren is statistical consultant at the Netherlands Organisation for Applied Scientific Research TNO in Leiden with a broad knowledge of quantitative issues in public health. Van Buuren holds a chair as Professor in Applied Statistics in Prevention at the department of Methodology & Statistics, FSS, University of Utrecht, and is the originator of various new statistical tools.
Child health, prevention, screening,Human growth, obesity,Hypertension, Disability measurement, Diabetes, Food preference
Shahab Jolani and Stef van Buuren
Commentary: J Biom Biostat 2014, 4:194