Analytical strategy first, then the models to deliver it
Our biostatisticians and data scientists help teams choose the right methods for the decision at hand — Bayesian, survival, machine learning or classical — and deliver reproducible analyses that stand up to regulatory and HTA scrutiny.
Strategic advisory
Before any deliverable is scoped, our consultants work with your leadership to answer the questions that determine whether the evidence will change a decision.
- Analytical roadmaps for evidence and access programmes
- Method selection and statistical analysis plan review
- AI-readiness assessments for evidence synthesis workflows
- Data-visualisation and insight-communication strategy
Evidence generation capabilities
Biostatistics
Statistical analysis plans, clinical trial analysis and CSR support.
Machine Learning & NLP
Predictive modelling, text mining and automated screening for evidence synthesis.
Bayesian Methods
Bayesian meta-analysis, adaptive designs and probabilistic sensitivity analysis.
Survival & Extrapolation
Parametric survival modelling and long-term extrapolation for economic models.
Data Visualisation
Interactive dashboards and publication-quality graphics.
Sentiment Analysis
AI-driven sentiment analysis of patient-reported experiences and social listening data.
AI-assisted strategic analysis
Not every project needs it. For the engagements below, our consultants draw on in-house AI tools to analyse faster and more consistently — and you receive the insight as a strategic report with recommendations.
AI-assisted evidence synthesis
For large systematic reviews and living evidence programmes, we use in-house AI tools for screening, data extraction and classification — every decision auditable and validated by a second human reviewer — so synthesis is faster without compromising rigour.
Survival extrapolation & model-input review
For economic models under HTA scrutiny, we structure the comparison of parametric and flexible survival models, external-data validation and expert elicitation, delivering a defensible extrapolation recommendation.
Questions clients ask about Advanced Analytics
Our analytics team most often works inside engagements led by our HEOR & Global Market Access Strategy, EU HTA & Joint Clinical Assessment and Scientific Communications capabilities.
Which statistical methods do you specialise in?+
Bayesian and frequentist meta-analysis, network meta-analysis, MAIC and STC, parametric and flexible survival extrapolation, machine learning and NLP for evidence synthesis, and probabilistic sensitivity analysis.
What software do you use?+
R, Python and SAS, with reproducible, version-controlled code and technical reports suitable for HTA and regulatory review.
How does AI-assisted evidence synthesis stay rigorous?+
AI screening, extraction and classification are run inside auditable workflows with dual human validation — faster synthesis without compromising PRISMA and HTA-grade standards.
Scope a Advanced Analytics engagement
Share your objectives, timelines and target markets. We respond within one business day with next steps.