Technology
Headwater Science software is built for researchers who need rigorous, reproducible, and audit-ready results.
causalStudio™
A domain-specific programming language (DSL) that operationalizes advanced causal inference methods, including augmented IP-weighted estimators that address time-varying treatments, informative censoring, selection bias, missing data, and competing risks. Built so that methodological rigor becomes part of the workflow, not an afterthought.
This DSL is delivered as a set of validated R packages that are deployable across data environments, with no dependency on a single data source.
Headwater Science Reporting
An intuitive, interactive platform to visualize, stratify, filter, and publish analytical results — designed to present epidemiological study findings in a clear and compelling format for decision-grade evidence generation.
Supports descriptive tables of study populations, cumulative incidence and survival curves, Sankey and sunburst figures for treatment patterns, integrated commenting, project versioning, and selective access controls for collaborators.
Use Cases
Our technology has been applied across a range of study types — from negative control outcome assessments and trial emulations to external control arm construction and treatment adherence analyses.
Causal inference
Negative control outcome studies to assess treatment group comparability
Trial emulation to support label expansion
Emulating randomized trials for newly diagnosed immune thrombocytopenia
External control arms
Approaches to selecting time zero with multiple potential entry points
Treatment adherence
Estimating the effect of preventable treatment discontinuation on outcomes
Methods development
Using instrumental variables to address bias from unobserved confounders
Descriptive epidemiology
Lipid testing trends before and after myocardial infarction hospitalization
Why Headwater Science
Built by scientists
Developed by epidemiologists and statisticians
Regulatory track record
Used and validated in support of regulatory decision-making — not just research-grade software.
Data agnostic
Deploys across data sources and environments.
Defensible by design
Pre-specification, versioning, and audit-readiness are built into the workflow — not added at the end.
Contact us
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