M.Sc. Sandra Schmeller - Universität Ulm

Lectures & Courses:

October 2011 – January 2015: Studies of Mathematical Biometry (B.Sc.), Ulm University
Title of Bachelor’s Thesis: Nichtparametrische Schätzung einer Übergangswahrscheinlichkeit in einem nicht-Markov illness-death model mit Hilfe von konkurrierenden Risiken
January 2015 – June 2017: Studies of Mathematical Biometry (M.Sc.), Ulm University
Title of Master’s Thesis: Modeling time-dependent effects for competing risks endpoints in allogeneic stem cell transplantation – a piecewise constant approach
July 2017 – September 2021: Statistician at the German national registry for stem cell transplantation
January 2018 – July 2020: Tutor for Angewandte Statistik und prädiktive Methoden der School of Advanced Professional Studies
Since April 2021: Research Assistant and Doctoral Student at the Institute of Statistics, Ulm University

Schmeller, S., Fürst, D., Beyersmann, J. (2023). Konkurrierende Risiken Modelle. In: Gertheiss, J., Schmid, M., Spindler, M. (eds) Moderne Verfahren der Angewandten Statistik. Springer Spektrum, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-63496-7_4-1
Fuerst D., Frank S., Mueller C., Beelen D. W., Schetelig J., Niederwieser D., Finke J., Bunjes D., Kroeger N., Neuchel C., Tsamadou C., Schrezenmeier H., Beyersmann J. and Mytilineos J. (2018). Competing-risk outcomes after hematopoietic stem cell transplantation from the perspective of time-dependent effects. haematologica, 103(9), 1527.
Gerds T.A., Beyersmann J., Starkopf L., Frank S., van der Laan M.J., Schumacher M. (2017) The Kaplan-Meier Integral in the Presence of Covariates: A Review. In: Ferger D., González Manteiga W., Schmidt T., Wang JL. (eds) From Statistics to Mathematical Finance. Springer, Cham. doi.org/10.1007/978-3-319-50986-0_2