Data Science &
Statistical Modelling


Avalon’s core strengths are in leading edge data science, statistical analysis, modelling, and data-driven analytics. In our work in life sciences consulting, we have developed innovative approaches to the analysis of data on clinical processes, outcomes, and costs. In the development of economic models for life sciences, we have developed unique approaches beyond simple Markov models, making use of all the value attributes of a novel drug, device, or diagnostic. We bring these same advanced statistical tools into our work in law and economics and litigation.

Types Of Engagements

  • Calculations of attributable costs using commercial claims data
  • Estimating the usual, customary, and reasonable (UCR) amounts for pharmaceutical claims
  • Statistical analysis to determine causative factors & liability
  • Regression analysis to determine effects of an event
  • Regression analysis to determine marginal effects of covariates
  • Statistical models to predict expected versus actual utilization
  • Novel analysis of real-world data (RWD)
  • Systematic & comprehensive summaries of literature & evidence

Key Staff

  • John Schneider, PhD
  • Andrew Briggs, DPhil, MSc
  • Anthony LoSasso, PhD
  • Robert Ohsfeldt, PhD
  • Cara Scheibling, MBA
  • Jacie Cooper, MS

Related Markets & Industries

  • Insurance & Third-Party Payers
  • Attorneys & Law Firms
  • Medical Services
  • Hospitals & Health Systems
  • Pharmaceuticals & Biotechnology
  • Medical Devices & Diagnostics
  • Private Equity & Venture Capital
  • Consumer Products
  • Public Health
  • Government