معرفی
Kjetil Røysland is a Professor at the University of Oslo, specializing in causal inference methodologies applied to survival analysis and clinical health registry data. His research focuses on developing statistical techniques for evaluating treatment effects, particularly in continuous-time frameworks involving survival data and event history analysis. He employs advanced mathematical tools such as counting processes, stochastic differential equations, and graph theory to address causal questions in healthcare.
His work emphasizes methodological contributions to biostatistics, including causal mediation analysis, time-dependent confounding adjustment, and continuous-time marginal structural models. Røysland collaborates extensively with clinical researchers and contributes to health registries' utilization for improving evidence-based medical decisions.
Røysland is affiliated with the Causal Inference and Event History Analysis research group. His publications span high-impact journals like the Journal of the Royal Statistical Society and Biometrics, reflecting his expertise in bridging theoretical statistics with practical healthcare applications.
