Biomedical Statistical Analysis
Reproducible statistical analysis for clinical studies, cohorts and registries, including longitudinal models, survival, missing data and scientific reporting.
Longitudinal, Survival & Sensitivity Analysis
We assess changing responses and event timing while respecting dependence between observations. Analysis units, follow-up and missingness are reviewed before modelling.
What is included
- Repeated-measures and mixed-effects models for trajectories and comparisons.
- Survival analysis with explicit time-zero, event and censoring definitions.
- Diagnostics, justified covariate selection and sensitivity to missingness and assumptions.
What you receive
- Model specification and population/follow-up decisions.
- Estimates, intervals, curves and diagnostics.
- Reproducible code and interpretation of primary and sensitivity analyses.
Frequently asked questions
Can you review an already fitted model?
Yes. We examine specification, analysis population, assumptions and outputs to determine whether correction or redesign is needed.
Related services
RWE & Intervention Effect Analysis
Observational, post-marketing, pragmatic and before-after study analysis: adherence, outcomes, covariate adjustment and sensitivity.
Predictive Models & Patient Stratification
Predictive modelling, responder profiling and clinical stratification: regression, classification, clustering, validation, discrimination and calibration.
Discuss your project
Describe the objective, study stage and deadline. We will confirm fit, deliverables, timing and a quote based on complexity and data quality.
Do not email patient, clinical or confidential study data. Access and the working environment are agreed before materials are shared.
Discuss your project