Nikolaos Skourlis, PhD


Nikolaos Skourlis is a biostatistician with experience working with observational data in the areas of cancer and nutritional epidemiology. He has a strong background in survival analysis, modeling disease pathways using competing risks and multi-state models via the use of flexible parametric survival models. He is also particularly interested in the communication of statistical analysis results in an easy, effective and interactive way, to which end he developed an RShiny application called MSMplus, an interactive web-tool in order to enhance understanding of multi-state model analyses. Nick joined Red Door Analytics in October 2023 as Biostatistician.


  • Ph.D. in Medical Sciences, Biostatistics group, Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Sweden, awarded in 2023 with a thesis titled “Development and application of competing risks and multi-state models in cancer epidemiology.”

  • MSc in Biostatistics, University of Athens, Medical School / Mathematics Department, Greece, 2017


State-of-the-art statistical models for modern HTA

At @RedDoorAnalytics, we develop methodology and software for efficient modelling of biomarkers, measured repeatedly over time, jointly with survival outcomes, which are being increasingly used in cancer settings. We have also developed methods and software for general non-Markov multi-state survival analysis, allowing for the development of more plausible natural history models, where patient history can […]
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Multilevel (hierarchical) survival models: Estimation, prediction, interpretation

Hierarchical time-to-event data is common across various research domains. In the medical field, for instance, patients are often nested within hospitals and regions, while in education, students are nested within schools. In these settings, the outcome is typically measured at the individual level, with covariates recorded at any level of the hierarchy. This hierarchical structure […]
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Statistical Primers

What are competing risks?

Competing risks In survival analysis, competing risks refer to the situation when an individual is at risk of experiencing an event that precludes the event under study to occur. Competing risks commonly occur in studies of cause-specific mortality, as all other causes of death than the one under study might happen before the individuals “have […]
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