Welcome to Rickard - Red Door Analytics

We are excited to introduce our newest team member, Dr Rickard Strandberg, who is joining us as a Senior Biostatistician. Rickard Strandberg is a Biostatistician with ample experience in working with real world data. Throughout his career, he has collaborated closely with clinical researchers and deeply values their insights – particularly in translating high-quality research into actionable improvements in healthcare. Rickard is specialised in prediction and regression modeling, as well as in handling missing data. He also enjoys teaching and communicating statistics.

Three questions to Rickard

What did you work on before you joined Red Door Analytics?

I did a postdoc at Karolinska Institutet in the field of hepatology. My main project revolved around developing a new prediction model for liver cirrhosis aimed at patients in primary care. I also assisted with several studies about various chronic liver diseases, particularly fatty liver disease.

Why did you decide to join Red Door Analytics?

I was drawn to the depth of the talent already working at RDA. RDA seemed like a great place to do great research. I also liked the mixture of academic research and private industry clients.

What are you most excited about in your new role at Red Door Analytics?

I’m most excited about expanding my own horizons and developing further as a biostatistician – this time with fellow biostatisticians. In addition, I’m looking forward to the more challenging projects that pushes one to the next level.

List of selected publications

Lindfors A, Strandberg R, Hagström H. Screening for advanced liver fibrosis due to metabolic dysfunction-associated steatotic liver disease alongside retina scanning in people with type 2 diabetes: a cross-sectional study. The lancet. Gastroenterology & Hepatology 2025; 10:2.
Strandberg R, Jepsen P, Hagström H. Developing and validating clinical prediction models in hepatology – An overview for clinicians. Journal of Hepatology 2024; 81(1).
Strandberg R, Czene K, Hall P, Humphreys K. Novel predictions of invasive breast cancer risk in mammography screening cohorts. Statistics in Medicine 2023; 42(21).
Strandberg R, Czene K, Eriksson M, Hall P, Humphreys K. Estimating Distributions of Breast Cancer Onset and Growth in a Swedish Mammography Screening Cohort. Cancer Epidemiology Biomarkers & Prevention 2022; 31(3).

Specialist subjects

Methods Development

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Specialist subjects

Applied Biostatistics

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Specialist subjects

Haematology

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