Short CV/Education and training

  • 1996
    MSc in Biometrics (cum laude). Wageningen Agricultural University+

  • 2000
    visiting scholar, department of biostatistics, University of California at Los Angeles

  • 2000
    PhD in Applied Statistics. Maastricht University. Supervisors: prof. dr. M.P.F. Berger and dr. G.J.P. van Breukelen. Title thesis: Design and Analysis of Multilevel Intervention Studies

  • 2000 – 2001
    Postdoc researcher, National Institute of Public Health and the Environment

  • 2001 – 2009
    assistant professor, Utrecht University

  • Since 2009
    associate professor, Utrecht University

Selected publications

  • Moerbeek, M., van Breukelen, G.J.P., & Berger, M.P.F. (2001). Optimal experimental designs for multilevel logistic models. The Statistician, 50, 17-30.

  • Moerbeek, M. (2005). Randomization of clusters versus randomization of persons within clusters: which is preferable? The American Statistician, 59(1), 72-78.

  • Jozwiak, K., & Moerbeek, M. (2012). Cost-effective designs for trials with discrete-time survival endpoints. Computational Statistics and Data Analysis, 56: 2086-2096.



Complete list of publications

Selected projects

  • Powerful and cost-efficient designs for multilevel and longitudinal intervention studies in the social sciences

  • Improving statistical power for studies on event occurrence by using an optimal design

Membership in scientific bodies/juries

  • editorial board of Stator, journal of Netherlands Society for Statistics and Operations Research

  • jury member best master thesis, Netherlands Society for Statistics and Operations Research

  • member, Interuniversity Graduate School of Psychometrics and Sociometrics

  • member, Netherlands Society for Statistics and Operations Research

  • member, European Association of Methodology

Additional qualifications

  • Base qualification teaching, Utrecht University.

  • Senior qualification research, Utrecht University.

  • Registration biostatistician, Biometrical Section of Netherlands Society for Statistics and Operations Research


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