Finding causal relationships instead of associations is highly challenging, especially with observational data. Is treatment A observed to be better than treatment B because it is truly beneficial, or is it because treatment A was given mainly to patients with a better prognosis? Causal inference is a hot topic in statistics, and there is an urgent need to develop more methods that are applicable to a wide variety of medical research questions.
When data is spread across data files (e.g. data from a trial and from a healthcare registry), it is often not straightforward to combine them. Record linkage is the science of linking data from multiple sources. There are many ways to do this, but computational challenges remain.
The PhD project: causal record linkage
In this PhD project, we will combine causal inference and record linkage. We will aim to estimate causal effects based on multiple data sets. We will develop new statistical methods to carry out an integrated analysis. Of particular interest is the development of Bayesian approaches and the inclusion of survival data. The research will consist primarily of deriving new statistical methods and developing algorithms (e.g. EM-algorithm, variational Bayes) to implement the new methods.
Most of your time will be spent on research, resulting in a PhD thesis. In addition, we expect the successful candidate to contribute to the teaching activities of the department, to participate in seminars and to present their research at (international) conferences.
You will become a member of the Big Statistics group in the Department of Epidemiology and Data Science. We are an international group of statisticians, and we aim to link big data to clinical response by novel, problem-specific statistical methods.
Your main supervisors will be dr. Stéphanie van der Pas (website) dr. Michel Hof (website) and prof. dr. Mark van de Wiel (website). You can learn more about the activities of our group on Twitter or on our website.
During the publication period, applications will be handled continuously. If the vacancy is filled, it will be closed prematurely.
Please include with your application:
Start date is flexible, preferably between September - November 2022. Should you not graduate until this summer, you are cordially invited to apply now.
For more information regarding the project and position you can contact, dr. Stéphanie van der Pas, assistant professor at the Amsterdam UMC, via email@example.com.
For more information about the application process please contact Tanja Hart, Recruitment adviser, via 06-21603178 or via firstname.lastname@example.org.
In case of equal suitability, internal candidates will be given priority over external candidates.
Acquisition in response to this vacancy is not appreciated.