Evidence synthesis + advanced analytics

Evidence synthesis is the process of converting data from scientific outputs into usable evidence to inform clinical management, decision making, and health policy. Our evidence synthesis team specializes in conducting rigorous scientific reviews tailored to our client’s requirements, from simple rapid and scoping reviews to more robust targeted and systematic literature reviews assisted by machine-learning capabilities.

Our expertise in biostatistics allows us to conduct not only conventional (network) meta-analysis, but also advanced analytics making use of both complex aggregate date and individual patient data.

We can also assist the development of HTA reimbursement submissions by conducting environmental scans, developing and adapting global and local value dossiers, and reviewing HTA submission content and review decisions.

Our evidence synthesis services include, but are not limited to:

• Systematic literature reviews
• Targeted literature reviews
• Rapid literature reviews
• Scoping reviews
• Evidence gap analyses
• Environmental scans
• Pooled proportions meta-analyses
• Pair-wise meta-analyses
• Fixed-effect, random-effects, and IVhet models
• Quality effects models
• Frequentist and Bayesian approaches
• Application of aggregate data (AD) and individual patient data (IPD)

Our advanced analytics services for evidence synthesis include, but are not limited to:

• Network meta-analysis (NMA)
• Multivariate NMA
• Multi-state Markov NMA
• Non-proportional hazards NMA
• NMA using single-arm evidence and aggregate data only
• Matching-adjusted indirect comparisons (MAIC)
• Simulated treatment comparisons (STC)
• Surrogate endpoints analysis
• Integration of indirect comparisons into economic models