Research activities

Meet the research team:

Selection of submitted/working papers

  • Towards a standardised evaluation of missing data methods.
  • [with Mingyang Cai] A note on imputing squares via polynomial combination approach.
  • [with Mingyang Cai and Stef van Buuren] Multiple imputation for individual causal effects.
  • [with Mingyang Cai and Stef van Buuren] Predictive Mean matching based on Canonical Regression Analysis.
  • [with Mingyang Cai] Graphical and numerical diagnostic tools to assess multiple imputation models by posterior predictive checking
  • [with Stef van Buuren] The best prediction can be the worst imputation.
  • [with Hanne Oberman and Stef van Buuren] Missing the Point: Non-Convergence in Iterative Imputation Algorithms.
  • [with Jihane Cherif] On the statistical properties of combining ANOVAs after multiple imputation.
  • [with Jeroen Pannekoek and Stef van Buuren] Predictive ratio matching imputation of nested compositional data with semicontinuous variables.


  • Schouten, R. M., & Vink, G. (2018). The Dance of the Mechanisms: How Observed Information Influences the Validity of Missingness Assumptions. Sociological Methods & Research. [link]
  • Rianne Margaretha Schouten, Peter Lugtig & Gerko Vink (2018) Generating missing values for simulation purposes: a multivariate amputation procedure, Journal of Statistical Computation and Simulation, [link]
  • Reijntjes, A., Vermande, M., Olthof, T., Goossens, F. A., Vink, G., Aleva, L., and van der Meulen, M. (2018). Differences between resource control types revisited: A short term longitudinal study. Social Development, 27(1):187–200. [link]
  • Jill Thijssen, Gerko Vink, Peter Muris, Corine de Ruiter. (2018). The Effectiveness of Parent Management Training-Oregon Model in Clinically Referred Children with Externalizing Behavior Problems in The Netherlands. Child Psychiatry & Human Development. 2016. pp. 1-15. link
  • Vink, G., Lazendic, G., & Van Buuren, S. (2015). Partitioned predictive mean matching as a multilevel imputation technique. Psychological Test and Assessment Modeling, 57 (4), 577-594. pdf
  • Peeters, M., Zondervan – Zwijnenburg, M., Vink, G., & Van Schoot, R. (2015). How to handle missing data: A comparison of different approaches. European Journal of Developmental Psychology. pdf
  • Vink, G. (2015). Restrictive imputation of incomplete survey data. Doctoral dissertation (ISBN: 978-90-393-6300-3). Utrecht University. pdf
  • Vink, G., & Van Buuren, S. (2015). Multiple imputation of Parent Management Training Oregon model data (Tech. Rep.). Maastricht University.
  • Vink, G., & Van Buuren, S. (2014). Pooling multiple imputations when the sample happens to be the population. arXiv preprint arXiv:1409.8542. pdf
  • Sorbi, M.J., Kleiboer, A.M., Van Silfhout, H.G., Vink, G. & Passchier, J. (2014). Medium-term effectiveness of online behavioral training in migraine self-management: a randomized trial controlled over 10 months. Cephalalgia September 16, 2014 0333102414547137. pdf
  • Vink, G., Frank, L. E., Pannekoek, J., & Van Buuren, S. (2014). Predictive mean matching imputation of semicontinuous variables. Statistica Neerlandica, 68(1), 61-90. pdf
  • Vink, G., & Van Buuren, S. (2013). Multiple Imputation of Squared Terms. Sociological Methods & Research, 42(4), 598-607. pdf
  • Vink, G., Van Buuren, S. (2013, September). Multiple imputation of longitudinal NAPLAN data (Tech. Rep.). Australian Curriculum, Assessment and Reporting Authority.
  • Vink, G., Van Buuren, S., & Hox, J. (2013, February). Report on Bayesian estimation of social educational advantage (Tech. Rep.). Australian Curriculum, Assessment and Reporting Authority.
  • Vink, G., Van Buuren, S., & Hox, J. (2013, January). Report on imputation of the ACARA data (Tech. Rep.). Australian Curriculum, Assessment and Reporting Authority.
  • Banning, R. & Vink, G. (2010). Methoden en indicatoren voor het evalueren en beschrijven van controle- en correctieprocessen. Technical report, DMV-2010- 06-08-RBNG-GVNK, Centraal Bureau voor de Statistiek, The Hague.
  • Vink, G.,(2007). Meervoudige beoordelaarsovereenstemming met Cohen’s Kappa: Dubbelcodering van strategiegebruik en fouttypen bij vermenigvuldigingsopgaven in onafhankelijke databeoordelaarscombinaties (Tech. Rep.). Leiden University.