Evidence Partnerships
We execute on a full spectrum of real-world evidence studies using a principled, data-agnostic approach.
From comparative effectiveness to subpopulation analyses, we apply the same causal inference expertise and collaborative engagement regardless of question type or data source.
Comparative effectiveness & safety
Head-to-head treatment comparisons in real-world populations, designed to isolate treatment effects from the confounding inherent in observational data.
External control arms
Historically controlled comparator groups constructed from real-world data to support single-arm trials, with rigorous attention to time zero, eligibility alignment, and bias protection.
Trial emulation
Trial emulation frameworks that bring the design discipline of randomized trials to observational analyses, supporting label expansion and regulatory submissions.
Negative control outcome studies
Pre-comparative assessments that evaluate whether treatment groups are sufficiently comparable before a study is run, catching bias problems early, not after results are in.
Treatment patterns & adherence
How patients actually use treatments in practice: initiation, switching, discontinuation, and the downstream outcome consequences of each.
Healthcare utilization & costs
Resource use, expenditure, and burden of illness analyses that inform payer and HTA submissions as well as internal commercial decision-making.
Descriptive epidemiology
Disease natural history, incidence, prevalence, and population characterization studies, often the foundation for every study type above.
Subpopulation & high-risk analyses
Targeted investigations of specific patient segments where standard population-level findings don't apply and where the clinical or regulatory stakes are highest.
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