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Personal profile

Research interests

Shahab Jolani is an assistant professor in the Department of Methodology and Statistics at Maastricht University, the Netherlands. He completed his PhD in Statistics in 2012 at Utrecht University. His research interests lie in the analysis of missing data and multilevel models, and within that most of his published work focuses on multiple imputation of missing data in longitudinal settings. He also teaches a variety of courses on graduate and undergraduate levels including multivariate data analysis, multiple imputation, and statistical computing and simulation. 

Research Output

  • 8 Article
  • 1 Chapter
  • 1 Conference Abstract/Poster in journal

Guidelines for multiple imputations in repeated measurements with time-dependent covariates: a case study

Tan, F. E. S., Jolani, S. & Verbeek, H., 1 Oct 2018, In : Journal of Clinical Epidemiology. 102, p. 107-114 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Hierarchical imputation of systematically and sporadically missing data: An approximate Bayesian approach using chained equations

Jolani, S., 1 Mar 2018, In : Biometrical Journal. 60, 2, p. 333-351 19 p.

Research output: Contribution to journalArticleAcademicpeer-review

Impact of simple substitution methods for missing data on Classical test theory difficulty and discrimination

Beland, S., Jolani, S., Pichette, F. & Renaud, J-S., 1 Jan 2018, In : The Quantitative Methods for Psychology . 14, 3, p. 180-192 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Multiple Imputation for Multilevel Data with Continuous and Binary Variables

Audigier, V., White, I. R., Jolani, S., Debray, T. P. A., Quartagno, M., Carpenter, J., van Buuren, S. & Resche-Rigon, M., 1 May 2018, In : Statistical Science. 33, 2, p. 160-183 24 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access