Stéphanie van der Pas

DR., (Principal Investigator)


Research activity per year

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Personal profile


Causal inference; observational data; biostatistics; survival analysis; Bayesian statistics

Research interests

My goal is to ensure more patients can get reliable answers for their personal health questions. When a high quality trial to answer their questions is not available, or if the inclusion criteria were so strict that it is unclear whether the results apply to them, we turn to observational data. There is a wealth of information ready to be unlocked from observational data, but for many medically relevant settings the right causal inference methods to do so do not exist yet.

Drawing on my background in mathematics, I develop new causal inference methods, with the goal of increasing the number of (observational) data sets from which we can draw trustworthy causal conclusions. To facilitate the deployment of the new methods in practice, I publish free open source software (R packages).

My current research focus is on combining multiple data sets for causal inference, the regression discontinuity design, and high-dimensional causal inference. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

PhD, Topics in mathematical and applied statistics, Mathematical Institute Leiden University, 2333 CA Leiden, Netherlands

Award Date: 28 Feb 2017

Master, MSc Mathematics, Mathematical Institute Leiden University, 2333 CA Leiden, Netherlands

Award Date: 28 Feb 2013

Master, MA Classics, Leiden University, Leiden, Netherlands

Award Date: 31 Aug 2012

Collaborations and top research areas from the last five years

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