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Cynthia Yang, MSc PhD Student Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
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Background
Cynthia obtained her BSc (2017) and MSc (2019) in Econometrics from Erasmus University Rotterdam, where she focused on quantitative problem solving using machine learning techniques. Her thesis concerned creating personalised purchase frequency predictions in a business-to-business setting.
Her current interests include methodological research on the class imbalance problem in clinical prediction modelling.
Publications
Yang, C., Khalid, S., Blacketer, C., ..., Rijnbeek, P.R., Reps, J.M. (2021). A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data. Computer Methods and Programs in Biomedicine, 211, 106394. https://doi.org/10.1016/j.cmpb.2021.106394.