Real World & Advanced Analytics

Leverage the full power of data to Optimize Development and Commercialization

With digitalization and an abundance of new data sources, drug development is entering a new era with regulators and payers looking to incorporate real-world data to inform decision-making. We generate evidence that complements traditional randomized clinical trials, accelerates submissions, expands indications and supports health-economic decision-making. Cytel focuses on using sophisticated statistical, decision modeling and data science techniques to generate evidence that regulators and payers will trust.

Evidence Generation

Evidence generation

Developing real world insights from real world data.

Knowledge synthesis

Knowledge Synthesis

Delivering end-to-end service for systematic literature reviews and Bayesian network meta-analyses.

Decision analysis

Decision Analysis

Building and running network decision analysis models for complex health interventions.

Synthetic and External Controls

Synthetic and External Controls

Enabling regulatory submissions of your single arm trial data by developing appropriate comparisons

Health Economics

Health Economics

Generating evidence-based cost-effectiveness models to showcase the economic value of your technology, intervention or service.

Head to Head

Head to Head Comparisons using RWD

Comparing treatments without the need to run clinical trials.

Real-World Evidence - Supporting Smarter Clinical Development

Whether you are a smaller organization seeking to optimize your programs, or a larger organization developing an RWE strategy to support a regulatory submission, we can help. Our team can leverage real-world data to:

  • Establish external control arms for deeper insights or limiting sample sizes in control arm
  • Inform better endpoint selection and improve population targeting
  • Predict enrolment with greater accuracy
  • Conduct meta-analysis of defining equivalence and non-inferiority margins or relative effect sizes
  • Share evidence across RCTs and between RCTs and RWE to make better use of available sample size throughout the development pathway (e.g. extrapolation from adult to pediatric population).


Real-World Evidence – Comparative Effectiveness Research to Support Commercialization 

Harnessing real-world data, we can robustly demonstrate effectiveness beyond randomized controlled trials, while informing reimbursement, pricing, and Health Technology Assessment discussions. 

Our researchers will help you with the strategy, design and execution of:

  • Pragmatic trials
  • Comparative Effectiveness Research approaches
  • Cost of Illness studies
  • Cost-effectiveness and cost-benefit analyses 
  • Prescription cost analysis
  • Budget Impact Analysis
  • Reimbursement applications


Right Question, Right Data, Right Time

Our innovative mindset, exceptional people, credibility with regulators, and technology know-how uniquely equip us to resolve the toughest real-world evidence (RWE) generation problems. 

We can help you determine and deploy the research questions, data sources and analytical methods required to realize RWE’s full potential while meeting the robust scientific, safety and ethical standards demanded by regulators, payers and patients.