---
title: Evidence Partnerships
description: >-
  Discover how Headwater produces decision-grade real-world evidence—rigorous
  methods, validated technology, and scientific partnership.
category: Page
canonical_url: https://www.headwaterscience.com/evidence-partnerships/
source: Headwater Science
license: © 2026 Headwater Science. All rights reserved.
slug: evidence-partnerships
id: 3IBc7ChRON8jA7mBKdgp1w
contentType: page
---

# Evidence

A full spectrum of real-world study types pharma teams need most all underpinned by a rigorous methodological framework.

We design studies across the study types pharma teams need most, applying the same rigorous causal inference framework 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.