Data analysis, research design, and methodological support for PhD students and researchers in health and applied sciences — rigorous, clear, and tailored to your project.
Statistical consulting is a professional collaboration between a researcher and a qualified statistician. The statistician brings deep expertise in research design, data analysis, and the interpretation of quantitative results — allowing the researcher to produce methodologically sound work with confidence, even when statistics is not their primary field.
In health and applied sciences, statistical consulting is embedded in the research process. Whether you are designing a study, calculating a sample size, choosing the right analytical model, or interpreting complex outputs, a statistical consultant provides the technical foundation that makes your research defensible and publishable.
For PhD students and postgraduate researchers, this kind of expert support is particularly valuable during the analytical phase of a thesis or dissertation — and is routinely acknowledged in the final work, in the same way that supervision and technical assistance are credited. Researchers who work with statistical consultants produce better-grounded results and approach their examinations with greater confidence in their methodology.
Good statistical consulting is not about doing the analysis for the researcher — it is about doing it with them. The goal is always that the researcher leaves with a thorough understanding of the methodology and results, capable of presenting and defending their work with confidence.
Already collected your data? We work with you through every stage of the analysis — from organising your dataset to producing clear, well-grounded results you can confidently present and defend.
Yet to collect your data? We advise on sampling strategy, sample size, data collection methods, and questionnaire design — giving your study a solid methodological foundation.
ANOVA, logistic regression, SEM, factor analysis, survival analysis, time series, and many more — applied with rigour and explained in plain language.