Heidi Seibold

Statistician at LMU Munich

Heidi is a statistics postdoc at LMU Munich. Her research focus is on statistical methods for personalized medicine with the aim of improving treatment of patients. Heidi has collaborated on several R packages and is an assistant editor for the Journal of Statistical Software, where she is responsible for reproducibility checks. She promotes open and reproducible science and sees R and Git as some of the most powerful tools for computational reproducibility in statistics and machine learning. Heidi loves to teach R related topics.
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Courses led by Heidi Seibold

R

Survival Analysis in R

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

4 Hours
Heidi Seibold Headshot

Heidi Seibold

Statistician at LMU Munich

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