Statistician & researcher. Randomized trials & meta-analysis. Oslo, Norway.

Chris Rose is a statistician and researcher at the Norwegian Institute for Public Health. He has a PhD in statistical modeling, is accredited as a Chartered Statistician (CStat) by the Royal Statistical Society (UK), and has almost 25 years of biomedical research experience.

His current research interests focus on developing, evaluating, and communicating methods for analyzing randomized trials of public health and social measures (PHSM) for infection control, multivariate meta-analysis with sparse data, and studying the effect of machine learning tools for evidence synthesis.

Based in the Center for Epidemic Interventions Research, he also contributes to the Cluster for Reviews and Health Technology Assessments, and the Cluster for Global Health. His work on randomized trials focuses on PHSM for infection control, educational interventions to improve health choices, and digital interventions for maternal and child health. He also works on meta-analyses to support decision-making in the Norwegian healthcare and welfare services. He offers statistical consulting and training within the institute, nationally, and internationally.

Previously, he worked on methods for analyzing imaging-based early-phase trials of novel cancer therapies, and on neoantigen prediction for personalized oncoimmunotherapy.