Statistical support for PhD students in health and applied sciences across the UK, for quantitative and mixed-methods projects. We support you from the initial design of your study through to the final analytical results — methodology planning, sample size justification, data analysis, including confirmatory data analysis, and a detailed technical report. Fully online.
We support PhD students from the initial design of their study through to the final analytical results — covering methodology planning, sample size justification, data analysis, and a dedicated walkthrough of the findings so you can discuss and defend your work with confidence.
We provide PhD statistical analysis across the full research pipeline, including confirmatory data analysis — testing pre-specified hypotheses against your collected data, as distinct from exploratory analysis. We work with quantitative and mixed-methods PhD projects across health and applied sciences.
Every consultation includes a written report covering the methodology and results, with clear guidance on how to interpret them — for your thesis, a journal submission, or a grant application.
We walk you through every step of the analysis in a dedicated session. You come away with a genuine understanding of what was done and why — ready to explain and defend your approach.
We discuss your research aims and data in detail, and agree on the right analytical approach before any work begins.
We work through the analyses with your involvement, producing a technical report covering the methodology, results, and how to interpret them.
A dedicated online session to go through the findings together — you leave with a clear understanding of the results, ready to write them up, defend them, or submit for publication.
We stay available by email for any follow-up questions about the delivered material, with no time limit and no extra charge.
We determine the right sampling strategy and required sample size for your study — taking into account your research questions, design, and any ethics or institutional requirements.
We help you define and document the statistical approach for your study in a clear, technically sound way — making it easier to discuss with your supervisor or ethics committee and to include in any ethics application, research proposal, or grant documentation.
We advise on how to structure and organise your data from the outset, making the analysis process smoother and reducing the risk of errors further down the track.
We help design well-structured questionnaires and carry out statistical validation of scales and measurement instruments — for theses, clinical studies, and published research.
t-tests, ANOVA, Chi-square, Mann-Whitney, Kruskal-Wallis, and more.
Linear, logistic, Poisson, negative binomial, Cox proportional hazards, and more.
Factor analysis, cluster analysis, PCA, discriminant analysis, MDS, and more.
Structural Equation Modelling (SEM), survival analysis, mixed models, and more.
Cronbach's alpha, confirmatory factor analysis, convergent and discriminant validity, and more.
ARIMA, decomposition, forecasting, seasonality analysis, and more.
Have a particular method in mind? Get in touch — we will assess it and recommend the most appropriate approach for your research.
We are statistical consultants — not ghostwriters. The intellectual content, scientific reasoning, and writing of your thesis or paper are entirely your own. We provide expert guidance on statistical methodology and analysis.
Your supervisor must be aware that you are using the service. For academic researchers, this kind of support is particularly valuable during the analysis phase of a thesis or dissertation, and is a recognised and accepted practice.
Consistent with academic best practice, we ask that our contribution be acknowledged in the Acknowledgements section of your thesis or paper. We will guide you on appropriate wording.
We specialise in health and applied sciences — the fields where statistical consulting is standard collaborative research practice.
Have a question not covered here? Get in touch directly.
Send us a message →Tell us about your project and we will respond with a quote and timeline — for students and researchers at all career stages.
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