Contact

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

Chris Rose is a senior statistician and researcher at the Norwegian Institute for Public Health (NIPH).

  • PhD in statistical modeling (University of Manchester, UK)
  • Royal Statistical Society Fellow and Chartered Statistician (CStat)
  • Over 25 years of biomedical research experience

Based in the Center for Epidemic Interventions Research, a WHO Collaborating Center at NIPH, he also contributes to the Cluster for Health and Social Care Interventions and the Cluster for Global Health. His current work includes:

  • Design and analysis of randomized trials of public health and social measures (PHSM) for infection control, educational interventions to improve health choices, and digital interventions for maternal and child health
  • Complex meta-analysis of social and welfare interventions to support national decision-making
  • Evaluation of artificial intelligence and machine learning tools for evidence synthesis

He offers statistical consulting and training within the institute, nationally, and internationally, specializing in explaining statistical methods in an accessible way to non-statisticians.

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

What I do

  • Randomized trial design and analysis
  • Meta-analysis and meta-regression
  • Network meta-analysis
  • Statistical methods development
  • Statistical programming (Stata & Mata)
  • Statistical consulting
  • Statistical training
  • Mentoring

Recorded presentations

Recent work

  • Air purifiers in classrooms for infection control: a pilot study including a randomized multiple crossover trial to evaluate effectiveness in reducing particulate matter (Trials, 2026)
  • Classroom air purifiers for reducing school absence: study protocol for a pragmatic, cluster-randomised, parallel, two-arm, group sequential superiority trial (BMJ open, 2025)
  • Personal protective effect of wearing surgical face masks in public spaces on self-reported respiratory symptoms in adults: pragmatic randomised superiority trial (The BMJ, 2024)
  • Artificial Intelligence and Machine Learning to Improve Evidence Synthesis Production Efficiency: An Observational Study of Resource Use and Time-to-Completion (Cochrane Evidence Synthesis and Methods, 2025)
  • Using a Large Language Model (ChatGPT-4o) to Assess the Risk of Bias in Randomized Controlled Trials of Medical Interventions: Interrater Agreement With Human Reviewers (Cochrane Evidence Synthesis and Methods, 2025)
  • Count data, rates, rate differences, and rate ratios in meta-analysis: A tutorial (Cochrane Evidence Synthesis and Methods, 2025)
  • Count outcomes, rate ratios and rate differences (BMJ Evidence-Based Medicine, 2025)
  • Multivariate random-effects meta-analysis for sparse data using smvmeta (The Stata Journal, 2024)

Publications

Previous research roles

  • Statistical Editor,
    Cochrane
  • Senior Data Scientist,
    NEC OncoImmunity
  • Research Fellow,
    University of Manchester
  • Research Associate,
    University of Manchester