Longitudinal, Survival & Sensitivity Analysis
Repeated-measures, mixed-effects and time-to-event analysis for clinical studies: covariates, censoring, missingness and sensitivity.
Biomedical Statistical Analysis
We support analysis from the scientific question and data preparation through tables, figures and interpretation. Methods follow the design and objective, rather than an automatic checklist of tests.
What is included
- Analysis planning, data-quality review and population and variable definitions.
- Association or prediction models, longitudinal data, survival and missing-data methods as appropriate.
- Assumption checks, validation, uncertainty and sensitivity analyses.
What you receive
- Analysis-ready data and reproducible code with identified versions.
- Tables, figures and a scientific report.
- Methods, limitations and an interpretation meeting.
Frequently asked questions
Do you analyse cohorts, registries and repeated measurements?
Yes, under an agreed scope. We assess dependence, censoring, confounding and missingness before selecting models and sensitivity analyses.
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