Homepage of Dennis Dobler (Vrije Universiteit Amsterdam)
I am currently an assistant professor in Statistics at the Department of Mathematics of the Vrije Universiteit Amsterdam, Netherlands.
In 2016, I obtained my Ph.D. (Dr. rer. nat.) in Mathematics at Ulm University, Germany.
The main subject of the thesis was resampling-based inference procedures for transition probability functions
in survival analysis while assuming the Markov property for incompletely observable multi-state processes.
I obtained the UUG award for this doctorate
personal award text).
Until 2013, I studied Mathematics (B.Sc. and M.Sc.) and Computer Science (B.Sc.) at the Heinrich-Heine University Duesseldorf, Germany.
My main current and future research topics include non- and semiparametric inference in survival analysis,
resampling and permutation techniques, empirical processes, and multivariate data analyses.
An overview of my articles can be found
Here is a link to my VU research portal website.
Here are my most recent publications / preprints:
Dobler, D., Pauly, M., and Scheike, T. H. (2018).
Wild Bootstrap based Confidence Bands for Multiplicative Hazards Models.
Dobler, D. and Pauly, M. (2018).
Survival of the Fittest Group: Factorial Analyses of Treatment Effects under Independent Right-Censoring.
Bluhmki, T., Schmoor, C., Dobler, D., Pauly, M., Finke, J., Schumacher, M., and Beyersmann, J. (2018).
A wild bootstrap approach for the Aalen-Johansen estimator,
Biometrics, early view.
Bluhmki, T., Dobler, D., Beyersmann, J., and Pauly, M. (2018).
The Wild Bootstrap for Multivariate Nelson-Aalen Estimators,
Lifetime Data Analysis, early view.
Dobler, D. (2018). Bootstrapping the Kaplan-Meier Estimator on the Whole Line,
Annals of the Institute of Statistical Mathematics, early view.
Dobler, D., Beyersmann, J., and Pauly, M. (2017). Non-strange Weird Resampling for Complex Survival Data, Biometrika, 104(3): 699-711.
Dobler, D., Friedrich, S., and Pauly, M. Nonparametric MANOVA in Mann-Whitney effects.
Dobler, D. and Titman, A. C. Simultaneous Inference on Transition Probabilities in Non-Markov Right-Censored Multi-State Models with Applications to the Expected Length of Stay.
Courses (more information available on Canvas)
Statistical Methods (premaster)
Statistical Data Analysis
Vrije Universiteit Amsterdam
People of the Department of Mathematics (VU Amsterdam)
Faculty of Science: Mathematics (VU Amsterdam)
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