⬡ Statistical Consultancy · Denmark

When the statistics
really matter

Specialist advice on complex statistical problems in health science research — applied statistician with 25 years of hands-on experience.

For the tricky questions where senior-level expertise makes all the difference.

150+
Publications
5,700+
Citations
25 yrs
Experience
Henrik Støvring
Henrik Støvring · Professor of Statistics & Pharmacometrics

Henrik Støvring

Stats4all is a specialist statistical consultancy run by Henrik Støvring — Professor of Statistics and Pharmacometrics at Aarhus University (Department of Biomedicine) and Steno Diabetes Center Aarhus.

My background includes two doctoral degrees (PhD from the University of Southern Denmark; DMSc from Aarhus University) and an MSc from the University of Chicago as a Fulbright Scholar. At University of Chicago I won the student award as best statistical consultant and I take pride in bringing methodological depth to every engagement.

With Stats4all, I take on a select number of consultancy assignments which allows me to bring dedicated and motivated expert contributions to projects. Enquiries in Danish or English are both welcome.

🏆 Best Statistical Consultant Award · University of Chicago
MSc on Fulbright Scholarship
Professor of Statistics & Pharmacometrics · Aarhus University
Steno Diabetes Center Aarhus · Department of Biomedicine
PhD (SDU) & DMSc (Aarhus) — two doctoral degrees
Statistical Editor of international medical journal
150+ publications · 5,700+ citations · 25 years active research
CVR 33272359 · stats4all.net
Expertise

Where I can make a real difference

Stats4all focuses on the methodologically challenging problems where experience and depth genuinely matter — the questions where getting it right takes a specialist, and where senior statistical expertise can change the outcome of an entire study.

🔍

Missing Data & Multiple Imputation

Advanced strategies well beyond simple complete-case analysis — modern multiple imputation methods carefully tailored to the structure and missingness pattern of your study.

🎲

Simulation-Based Sample Size & Power

Complex power calculations via stochastic simulation for non-standard designs, composite endpoints, hierarchical data, and adaptive trials where closed-form formulas fall short.

📈

Regression & Advanced Modelling

Linear and generalised linear models (logistic, Poisson, negative binomial), survival analysis (Cox and parametric), mixed effects models, and pharmacoepidemiology study designs.

💊

Pharmacometrics & Drug Utilisation

Drug utilization, exposure–response analysis, real-world evidence, and post-authorisation safety studies — grounded in 25 years of register-based research.

🗣️

Communicating Complex Statistics

A practised strength built over decades: translating intricate statistical results into clear, credible narratives for clinicians, regulators, reviewers, and non-statistical audiences.

🛠️

Advice, Supervision & R and Stata Code

Pragmatic support shaped to your situation — a focused consultation, independent review, hands-on supervision, or well-documented R or Stata code you can adapt and build on yourself.

Danish summer landscape Denmark
Danish lighthouse Guidance
Danish chalk cliffs Precision
Research Background

Built on 25 years of active research

My ongoing academic research at Aarhus University is the basis for my statistical consultancy. With over 150 peer-reviewed publications and more than 5,700 citations, my work spans applied and methodological questions in health science statistics.

Research areas include pharmacoepidemiology, missing data methodology, cancer screening, diabetes, cardiovascular disease, HIV, and the development of novel study designs for real-world evidence using Danish health registers.

This active research base means consultancy advice reflects today's best methodological practice — current work, not historical textbooks.

Full publication list on PubMed pubmed.ncbi.nlm.nih.gov → Støvring H
Missing data & multiple imputation methodology
Pharmacoepidemiology & drug utilisation
Cancer screening & early detection
Diabetes & cardiovascular epidemiology
Pharmacometrics & pharmacoepidemiology
Real-world evidence & Danish health registers
Simulation-based statistical methods
Causal inference & novel study designs

Senior expertise, direct access

You work with me — not a junior analyst, not a rotating team. Every engagement gets the full weight of 25 years of statistical experience at professor level.

01

Grounded in active research

Current methodology, and not just historical textbooks. My advice is shaped by my ongoing work at the frontier of health science statistics at Aarhus University.

02

Pragmatic solutions

The goal is workable, defensible answers — not theoretical elegance for its own sake. Complex problems deserve practical, implementable solutions.

03

Clear communication

A rare and practised skill: deep statistical expertise paired with the ability to explain it clearly to any audience — built over decades of teaching and research collaboration.

Contact

Let's talk about your problem

Reach out for a no-obligation conversation — in Danish or English.

If you have a tricky statistical question — or you're not yet sure whether you do — I'm happy to have an initial conversation free of charge.

📱
Mobile
📍
Address
Asmusgårdsvej 56
8520 Lystrup, Denmark
🌐
Website
🇩🇰 Registered Danish business  ·  CVR 33272359