Lore Zumeta Olaskoaga

PhD Student

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Information of interest

I am a PhD student at BCAM in the Applied Statistics group since September 2019. My thesis project focuses on semi-parametric time-to-event regression techniques applied to sports injury prevention research, and is supervised by Dr. Dae-Jin Lee. Previously, I worked as a research technician in BCAM (07/2018 - 08/2019), collaborating in industrial projects that addressed real-life applications. I obtained my Bachelor's degree in Mathematics in 2016 at the University of the Basque Country (UPV/EHU) and my Master's degree in Statistics and Operations Research at the Polytechnic University of Catalonia and the University of Barcelona (MESIO UPC-UB) in 2018. I carried out my Master's Thesis within the GRBIO research group under the supervision of Prof. Guadalupe Gómez, which was motivated by a clinical study and framed on survival analysis, using multi-state models.


The accompanying code repository for the research paper: "Zumeta-Olaskoaga, L., Bender, A. and Lee, D.-J. Flexible modelling of time-varying exposures and recurrent events to analyze training loads effects in team sports injuries".

Authors: Lore Zumeta-Olaskoaga (software developer), Andreas Bender and Dae-Jin Lee (co-authors)

License: MIT


Injury tools R package: "A Toolkit for Sports Injury Data Analysis"

Authors: Lore Zumeta-Olaskoaga (author, mantainer)

License: MIT


The accompanying code repository for the scientific paper: "Zumeta-Olaskoaga, L., Weigert, M., Larruskain, J., Bikandi, E., Setuain, I., Lekue, J., … Lee, D.-J. (2021). Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models. AStA Advances in Statistical Analysis, 1–26. doi: 10.1007/s10182-021-00428-2"

Authors: Lore Zumeta-Olaskoaga (software developer), Maximilian Weigert (software developer) 
Jon Larruskain, Eder Bikandi, Igor Setuain, Josean Lekue, Helmut Küchenhoff, Dae-Jin Lee (co-authors)

License: MIT