AKALYSIS
Epidemiology consultancy
Epidemiology consultancy for population, public health and real-world data
For research groups, public health teams, and organisations that need epidemiological reasoning as well as statistical competence.
Epidemiological work is rarely just about selecting a model. It involves study design, confounding, time ordering, measurement quality, missingness, selection mechanisms, and the difference between association and explanation. AKALYSIS supports that full chain of thinking so the analysis is methodologically coherent rather than pieced together after the fact.
Led by Dr. Andrew Kingston, statistician, epidemiologist, data scientist and educator. BSc (Hons) MSc PhD CStat SFHEA.
Area of Focus
Study design clarity
Structuring the analytical question around design, population, exposure, outcome, and timing.
Area of Focus
Bias and causal reasoning
Working through confounding, selection, measurement, time ordering, and where causal language is or is not defensible.
Area of Focus
Reviewer-aware methods
Building a stronger rationale for the choices that reviewers, supervisors, and collaborators will question first.
When this is a good fit
You are working with cohort, cross-sectional, longitudinal, or linked observational data.
The main risk is not coding the model but designing the analysis weakly.
You need help defending covariate strategy, confounding control, or subgroup work.
The project sits in public health, ageing, policy, or real-world evidence.
Typical analytical work
- Exposure and outcome definition
- Confounding and effect-modification strategy
- Reviewer-facing methods and SAP wording
- Interpretation of observational and real-world evidence
- Analytical design before data extraction or modelling begins
Why AKALYSIS
Statistical rigour with epidemiological and data science depth
AKALYSIS is designed for projects where the analysis needs to be methodologically coherent as well as useful. That means careful thinking about design, model choice, interpretation, bias, uncertainty, and how results will be challenged by collaborators, reviewers, decision-makers, or the real world.
Book a Free Consultation
Book a free initial call to discuss your data and what rigorous analysis would actually look like for your project. No obligation, no sales pitch.
Free initial consultation, no obligation.