Stef van Buuren

Stef van Buuren

Professor of Statistical Analysis of Incomplete Data

Principal Scientist

Biography

Stef van Buuren is Professor of Statistical Analysis of Incomplete Data at the University of Utrecht and Principal Scientist at the Netherlands Organisation for Applied Scientific Research TNO in Leiden. His interests include the analysis of incomplete data, child growth and development, computational statistics, measurement and individual causal effects.

Van Buuren is the inventor of the MICE algorithm for multiple imputation of missing data. He created the growth charts used in the Dutch child health care system, and designed the D-score, a new system for expressing child development on a quantitative scale. He consults for the World Health Organization and the Bill & Melinda Gates Foundation.

Interests

  • Missing data
  • Child growth and development
  • Statistics
  • R programming

Education

  • PhD in Social Sciences, 1990

    Utrecht University

  • MSc in Research Methodology, 1986

    University of Leiden

Featured Publications

Broken stick model for irregular longitudinal data

Many longitudinal studies collect data that have irregular observation times, often requiring the application of linear mixed models …
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Broken stick model for irregular longitudinal data

Flexible imputation of missing data. Second edition.

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Flexible imputation of missing data. Second edition.

Recent Publications

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Broken stick model for irregular longitudinal data

Many longitudinal studies collect data that have irregular observation times, often requiring the application of linear mixed models …
PDF Manual Source
Broken stick model for irregular longitudinal data

Artifacts annotations in anesthesia blood pressure data by man and machine

Physiologic data from anesthesia monitors are automatically captured. Yet erroneous data are stored in the process as well. While this …
PDF
Artifacts annotations in anesthesia blood pressure data by man and machine

Reference chart for knee flexion following total knee arthroplasty: A novel tool for monitoring postoperative recovery.

BACKGROUND: Clinicians and patients lack an evidence-based framework by which to judge individual-level recovery following total knee …
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Reference chart for knee flexion following total knee arthroplasty: A novel tool for monitoring postoperative recovery.

Missing the point: Non-convergence in iterative imputation algorithms

Iterative imputation is a popular tool to accommodate missing data. While it is widely accepted that valid inferences can be obtained …
PDF
Missing the point: Non-convergence in iterative imputation algorithms

Artifact processing methods influence on intraoperative hypotension quantification and outcome effect estimates

Background: Physiologic data that is automatically collected during anesthesia is widely used for medical record keeping and clinical …
PDF
Artifact processing methods influence on intraoperative hypotension quantification and outcome effect estimates
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Popular Topics

"children" "Development" "ERC" "Growth" "Health" Adolescent Adult artifact blood pressure BMI Body Height Body Mass Index Body Weight child development child growth curve matching gestational age multiple imputation overweight Weight Gain

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