Trainers

Dr. Elmar Spiegel

Elmar Spiegel studied Statistics at the LMU Munich and obtained a Master of Science in 2013. Afterwards he worked as a research assistant at the University of Goettingen where he obtained his PhD in Statistics in 2017. In Goettingen he gave lectures and exercise classes in Spatial Statistics, Advanced Programming with R and Generalized Linear Models. His research interests are semiparametric regression and regression beyond the mean. In 2018 he started at the HMGU as a statistical consultant and gave lectures on basic statistics and programming with R. Further he is responsible for the organization of the training program. Please find further information here

Florian Schederecker

Florian Schederecker studied Public Health at the LMU Munich and obtained a Master of Public Health in 2016. During his masters he worked as a research assistant at the Institute for Medical Information Processing, Biometry and Epidemiology at the LMU Munich, where he gave tutorials and exercise classes in Biometry. Afterwards he worked at STATUP as a statistical consultant. From 2017 to 2020 he was working as a statistician at the Institute of Epidemiology at the HMGU. Since 2018 he is also working as a statistical consultant at the Core Facility Statistical Consulting and gave lectures on basic statistics and programming with R. His research interests are survival analysis and prediction models. Please find further information here.

Ronan Le Gleut

Ronan Le Gleut studied Statistics at the National School for Statistics and Information Analysis (ENSAI) in France where he obtained a Master of Science in 2013. He worked as a statistician at the National Institute of Statistics and Economic Studies in France between 2013 and 2018. Since 2018 he is working at HMGU as a statistical consultant in the Core Facility Statistical Consulting. He gave lectures at the HMGU on programming with R, basic statistics (random variables, tests, regression) and on multivariate statistics (dimension reduction and clustering techniques). He also gave lectures at the ENSAI and ENSAE (France) on missing data, sampling theory, descriptive statistics and multivariate analysis. He is interested in regression and multivariate methods, and also in sampling theory and missing data in surveys. Please find further information here.

Hannah Busen

Hannah Busen studied (Bio-)Statistics at the LMU Munich. She obtained a Master of Science at the LMU in 2016. Since 2017 she is working at HMGU as a statistical consultant in the Core Facility Statistical Consulting and started additionally as a PhD student at the Bielefeld University in 2018. She gave lectures at LMU, Bielefeld University and HMGU, including tutorials on generalized regression and multivariate analyses, courses on R (introduction, markdown, ggplot2) and introductory courses for statistics. She is interested in network and survival analysis. Please find further information here.