Dose-Response Analysis

Host Faculty: Engineering
General Subject Area: Statistics and Data Science
Project Level: PhD
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Dose-response models have various applications in toxicology, biology, chemistry, or pharmacology, i.e. estimating toxicity threshold levels for a chemical compound or optimal dosage of a drug. This project involves the development of a user-friendly software implementation of Bayesian nonlinear models with the statistical software R. Focus of the project can for example be hierarchical modelling, non-normal responses, or dose-finding methodology.


Supervisor: Daniel Gerhard

Key qualifications and skills

Good programming skills and Bayesian statistics

Does the project come with funding


Final date for receiving applications



Applied statistics