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12 Whatley Rd Bristol, BS8 2PU United KingdomCompany Overview: Founded in 2014, Clifton Insight is a highly specialized health economics and outcomes research (HEOR) consultancy built upon a network of leading UK academic researchers. Our team members are actively involved in pathbreaking applied and methodological research across the spectrum of Health Technology Assessment (HTA). We provide expert advice and advanced statistical modelling for global pharmaceutical companies and major HTA submissions (e.g., NICE, SMC, NCPE, and international payers). Core and boutique service offerings: - Advanced Indirect Treatment Comparisons (ITC) and Population Adjustment: We specialize in complex evidence synthesis when head-to-head clinical trial data is missing. Boutique capabilities: Advanced Population-Adjusted Indirect Comparisons (PAIC) including Matching-Adjusted Indirect Comparison (MAIC), Simulated Treatment Comparison (STC), and Multi-level Network Meta Regression (ML-NMR). - Evidence Synthesis, Meta analysis, and Network Meta-Analysis (NMA): We specialise in rigorous, high-end statistical modelling including Bayesian/frequentist Network Meta-Analysis (NMA), Network Meta Interpolation (NMI), Network Meta Regression (NMR), and meta-analysis. We have extensive expertise in complex, flexible survival-based NMA for time-to-event data where proportional hazards assumptions do not hold. This includes multi-parameter fractional polynomials NMA, spline-based NMA, and piecewise models. We conduct PRISMA-compliant Systematic Literature Reviews (SLR) and targeted literature reviews (TLR) tailored for payer submissions and unique research objectives. - Economic modelling & Value of Information (VOI) analysis: We develop bespoke cost-effectiveness models, including Markov models, partitioned survival models, and discrete event simulation, built to withstand intense payer scrutiny. Boutique capability: Value of Information (VOI) Analysis, helping pharmaceutical teams quantify and manage uncertainty in economic evaluations and optimize future research allocation. - Real World Evidence (RWE) and Observational Studies: We analyze retrospective and prospective observational datasets, including Electronic Health Records (EHR/EMR, CPRD, HES), longitudinal claims databases, disease registries, and other real-world data, to complement clinical trial evidence, support value stories, and address gaps in natural history and treatment patterns. - Advanced quantitative programming and software proficiencies: We leverage advanced programming and computational software to ensure our economic models and statistical analyses are robust, transparent, and fully customizable. These include high-performance statistical computing and interactive app development in R (including R Shiny, OpenBUGS, and JAGS for Bayesian analysis), custom algorithmic extensions and computational optimization via C++, as well as industry-standard model development in Microsoft Excel/VBA to ensure user-friendly, payer-ready interfaces. - HTA Payer Submissions and Global Value Dossier (GVD) Support: We support both global HTA submissions (NICE, SMC, NCPE, CADTH) and US market access deliverables. We author technical reports for Indirect Treatment Comparisons (NMA/MAIC/STC), economic evaluation chapters, SLR protocols/search narratives, and model user guides. We also provide rapid response to Evidence Review Group (ERG/EAG) technical critiques, payer clarification questions, and committee scenario re-runs.
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