Sebastian Meyer, Dr. sc. nat.
Dr. Sebastian Meyer
Postdoc, Statistician
Lehrstuhl für Biometrie und Epidemiologie
- Telefon: +49913185-22707
- E-Mail: seb.meyer@fau.de
R Core Team (since 2021-10) & R Foundation
Journal of Statistical Software (Section Editor, since 2017-07)
Current Research Projects
- Aluminium: Aluminum exposure in humans through food packaging
- RSV-Protect: Confirmation of efficacy of a novel immunization regimen against respiratory syncytial virus
- SUSPend: Impact of Social distancing policies and Underreporting on the SPatio-temporal spread of COVID-19
- EUPHORIA: Establish and validate Multispectral Optoacoustic Tomography (MSOT) as a new diagnostic tool to monitor inflammatory bowel disease
Publications
- Lu, J., & Meyer, S. (2023). A zero‐inflated endemic–epidemic model with an application to measles time series in Germany. Biometrical Journal. https://dx.doi.org/10.1002/bimj.202100408
- Hiller, J., Göen, T., Seibold-Wulf, N., Meyer, S., & Drexler, H. (2023). Effect of an aluminum foil-processed diet on internal human aluminum burden. Environment International, 177. https://dx.doi.org/10.1016/j.envint.2023.108000
- Lu, J., & Meyer, S. (2023). A zero-inflated endemic–epidemic model with an application to measles time series in Germany. Biometrical Journal. https://dx.doi.org/10.1002/bimj.202100408
- Kratzer, A., Diehl, K., Gefeller, O., Meyer, S., & Grässel, E. (2022). Non-pharmacological, psychosocial MAKS-s intervention for people with severe dementia in nursing homes: results of a cluster-randomised trial. BMC Geriatrics, 22(1). https://dx.doi.org/10.1186/s12877-022-03695-z
- Fischer, S., Cohnen, S., Klenske, E., Schmitt, H., Vitali, F., Hirschmann, S.,... Atreya, R. (2021). Long-term effectiveness, safety and immunogenicity of the biosimilar SB2 in inflammatory bowel disease patients after switching from originator infliximab. Therapeutic Advances in Gastroenterology, 14. https://dx.doi.org/10.1177/1756284820982802
- Cardillo, E., Abad, E., & Meyer, S. (2021). Iberian oak decline caused by Phytophthora cinnamomi: A spatiotemporal analysis incorporating the effect of host heterogeneities at landscape scale. Forest Pathology. https://dx.doi.org/10.1111/efp.12667
- Kalibera, T., Meyer, S., Hornik, K., Starostin, G., & Tierney, L. (2021). Changes in R. The R Journal, 13(2), 734-737.
- Kalibera, T., Meyer, S., & Hornik, K. (2021). Changes in R 4.0-4.1. The R Journal, 13(1), 638-640.
- Lu, J., & Meyer, S. (2021). An endemic–epidemic beta model for time series of infectious disease proportions. Journal of Applied Statistics. https://dx.doi.org/10.1080/02664763.2021.1962264
- Kalibera, T., Meyer, S., & Hornik, K. (2020). Changes in R 3.6-4.0. The R Journal, 12(2), 402-406.
(Vollständige Liste im ORCID-Profil.)
Software (R Packages)
Author:
- surveillance (CRAN, R-Forge, paper, applications): (Spatio-)Temporal Modeling & Monitoring of Epidemic Phenomena
- polyCub (CRAN, GitHub, paper): Numerical Integration over Polygonal Domains
- hhh4contacts (CRAN, paper): Age-Structured Spatio-Temporal Models for Infectious Disease Counts
- HIDDA.forecasting (GitHub, preprint): Forecasting Based on Surveillance Data
Contributor:
cdcfluview codemetar covr knitr lattice MMWRweek multcomp nlme pkgdown roxygen2 sp spatstat.geom spdep tinytest
Talks
- Changes in R
31. Juli 2023, Veranstaltung: Statistical Computing 2023 - Keynote: Junior R-core experiences
23. Juni 2022, Veranstaltung: useR! 2022, URL: https://user2022.r-project.org/ - Tutorial on `hhh4` modelling with "surveillance"
23. März 2022, Veranstaltung: Workshop on the Endemic-Epidemic Framework for Infectious Disease Modelling, London School of Hygiene & Tropical Medicine, URL: https://github.com/cmmid/hhh4-workshop/tree/main/tutorial1_intro - Räumlich-zeitliche Punktprozess-Regression mit epidemischer Komponente
13. März 2020, Veranstaltung: IBS-DR Workshop der AGs Ökologie und Umwelt, Räumliche Statistik und Bayes-Methodik - Forecasting based on surveillance data
27. August 2019, Veranstaltung: GEOMED 2019, URL: https://www.gla.ac.uk/events/conferences/geomed/ - Spatio-temporal analysis of epidemic phenomena
20. September 2017, Veranstaltung: Workshop on Automatic Detection of Infectious Disease Outbreaks, Robert Koch-Institut (RKI)