Biomedical Statistical Analysis
Reproducible statistical analysis for clinical studies, cohorts and registries, including longitudinal models, survival, missing data and scientific reporting.
RWE & Intervention Effect Analysis
We analyse outcomes and adherence in real-world data, distinguishing description, association and causal objectives. Comparisons must be supported by design and data, not merely model adjustment.
What is included
- Define cohorts, exposure, comparison, outcomes and temporal windows.
- Use adjusted, generalised and longitudinal models for observational and pragmatic research.
- Assess confounding, baseline/temporal differences, missingness and scenario robustness.
What you receive
- Analysis plan with interpretation assumptions.
- Estimates and uncertainty with sensitivity analyses.
- Results and limitations report for research or programme decisions.
Frequently asked questions
Is this the same as RWE Data Fitness Sprint?
No. Data Fitness assesses analytical feasibility and value. This service executes an agreed analysis when the question and data support it.
Related services
Longitudinal, Survival & Sensitivity Analysis
Repeated-measures, mixed-effects and time-to-event analysis for clinical studies: covariates, censoring, missingness 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