Anja Rappl, Dr. rer. biol. hum.

Dr. Anja Rappl

Raum: Raum 3.015
Universitätsstr. 22
91054 Erlangen

  • Evidence synthesis
  • Joint models for longitudinal and time-to-event data
  • Quantile regression
  • Bayesian statistics
  • Variable selection

  • Kaiser, I.*, Rappl, A.*, Bolay, L. S., Pfahlberg, A. B., Heppt, M. V., & Gefeller, O. (2025). Dietary Intake of Furanocoumarins and the Risk of Cutaneous Melanoma: A Systematic Review. Preprints. https://doi.org/10.20944/preprints202502.2326.v1 (accepted).  *contributed equally

08/2022 Spatial Joint Models through Bayesian Structured Piecewise Additive Joint Modelling for Longitudinal and Time-to-Event Data IWSM 2022, Trieste, Italy
04/2022 Bayesian Effect Selection in Structured Additive Quantile Regression DAGStat 2022, Hamburg, Germany
01/2021 Joint Models in Mean Regression and Beyond colloquium ZeSt, Bielefeld, Germany
10/2019 Making a tough model choice a bit easer: A (non-exhaustive) guide to Joint Models IMBIE, Bonn, Germany
03/2019 More than one way: Exploring the capabilities of different estimation approaches to joint models DAGStat 2019, Munich, Germany
09/2018 When observations become extreme: Linking Bayesian Structured Additive Quantile Regression to Joint Modelling Statistische Woche 2018, Linz, Austria
07/2018 Comparing different R routines for Joint Modelling Statistical Computing 2018, Günzburg, Germany
12/2017 Joint Modelling – An Introduction to models and estimation CMStatistics 2017, London, UK