I am a postdoctoral researcher at the Department of Biostatistics at the Erasmus Medical Center in Rotterdam. My research focus is on Bayesian methods for incomplete data, specifically for settings with missing covariates. Since 2017, I support the department of Gastroenterology & Hepatology in the planning and analysis of clinical trials and observational studies.
PhD in Biostatistics, 2019
Erasmus University Medical Center, Rotterdam, the Netherlands
Doctor of Science in Epidemiology, 2014
Netherlands Institute of Health Science, Rotterdam, the Netherlands
Diplom Statistics (equivalent BSc + MSc), 2012
Ludwig-Maximilians-Universität München, Munich, Germany
Provides joint analysis and imputation of linear regression models, generalized linear regression models or linear mixed models with incomplete (covariate) data in the Bayesian framework.
Online tool to test for non-linear effects in standard regression models (linear, logistic, poisson and Cox regression) using natural cubic splines. The non-linear fit is presented in a graph and the test results are given together with the resulting conclusion.
On 15 september 2019 I teach the pre-conference course on Multiple Imputation of Missing Data in Simple and More Complex Settings at the Tagung der Fachgruppe Methoden & Evaluation der Deutschen Gesellschaft für Psychologie in Kiel:
Practicals: (version 2019-09-13)
For the practicals, please download and install