Sara Ekberg, PhD

Principal Biostatistician

Sara is a biostatistician with over 10 years of experience working with register-based epidemiological research. She joined Red Door Analytics part-time (0.2FTE) in June 2022, and subsequently increased to full time in February 2024. She is also affiliated to the Department of Medicine at Karolinska Institutet, Uppsala University and Lund University. Her research interests include cancer survival and survivorship issues. Sara is also an engaged lecturer with a passion for teaching statistics to non-statisticians.

Education

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Videos

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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Videos

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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