AKALYSIS
Longitudinal data analysis
Longitudinal data analysis for repeated, evolving and time-based data
For projects where the structure of time matters and simple cross-sectional thinking is not enough.
Longitudinal data creates opportunities for richer analysis, but it also raises harder questions: correlation within subjects, changing exposures, attrition, irregular follow-up, competing risks, and what exactly should be interpreted over time. AKALYSIS helps teams work through those problems with methods that match the actual data-generating structure.
Led by Dr. Andrew Kingston, statistician, epidemiologist, data scientist and educator. BSc (Hons) MSc PhD CStat SFHEA.
Area of Focus
Repeated-measures structure
Choosing between mixed models, GEE-style thinking, transition approaches, survival frameworks, and other time-aware strategies.
Area of Focus
Time-varying complexity
Handling changing covariates, follow-up patterns, dropout, and the consequences of irregular observation schedules.
Area of Focus
Interpretation over time
Making sure the model answers the longitudinal question you actually care about, not just a convenient approximation.
When this is a good fit
You have repeated measures, multiple waves, follow-up visits, or panel data.
Attrition, missingness, or timing differences are likely to distort the analysis.
You need help deciding whether to model change, transitions, trajectories, or events.
The question involves ageing, progression, service use, outcomes over time, or changing exposures.
Typical analytical work
- Linear and generalised mixed models
- Repeated-measures strategy and design review
- Attrition, dropout, and missing-data considerations
- Time-varying covariate handling
- Longitudinal interpretation for papers, reports, and plans
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.