Cutting-edge clinical, pharmacokinetic and pharmacodynamic biostatistics

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Statistically-sound studies generate adequately powered data which is integral to the successful development program of each investigational entity and forms the basis of regulatory submissions.

Our experienced Biostatistics team provides core, data-driven guidance for optimal study design and the thorough analyses of clinical and pharmacokinetic/pharmacodynamic studies. Our key personnel each have 20-plus years experience working on landmark global clinical trials and this expertise enables us to deliver reliable study design, protocol development and planning solutions, as well as the meaningful analysis and reporting of outcomes。

The Biostatistics group is supported by internationally-recognised, best-in-class IT systems and all statistical analyses are undertaken with programmed reproducible methods using industry standard software packages. Together with a secure, dependable and fully backed -up computing environment, our team is an expert in targeting and optimising data analysis.

At GreenLight Clinical, we provide an integrated biostatistics analysis package comprising a full range of services that help our clients meet the objectives of their product development program. Covering all study types, from preclinical through Phases I-IV we offer flexible tailored options.

Clinical Trial Implementation

  • Study design, planning, development
  • Protocol preparation
  • Sample size / power calculations
  • Randomisation schedules
  • Interim analyses
  • Coordination of Data Safety Monitoring Committees
  • Dataset specification
  • Exploratory analysis

Analysis and Submissions

  • Statistical Analysis Plans (SAP)
  • Programming of Tables, Listings and Figures
  • Data modeling and interrogation
  • Pharmacokinetic / Pharmacodynamic analyses
  • Data review and Quality Assurance
  • Data Preparation for regulatory submissions
  • Summaries, reports, presentations and publications
  • Interpretation and plain language communication