If any of these risks are present, you need a decision model.
- Real-world variability inflates noise and erodes detectability.
- The protocol looks solid—until the first drop-outs or missingness quietly collapses power.
- Endpoint or measurement timing misses the signal window you’re actually betting on.
- You can’t justify to a sponsor/regulator why this dose or this schedule was chosen.
- Mid-study drift forces amendments—with hidden bias and interpretability risk.
- Two plausible designs compete, but there’s no defensible tie-breaker.
- Uncomfortable: A design choice is “agreed” internally—but no one can defend it in writing.
Method2Model turns these risks into explicit, testable assumptions—before they become expensive surprises.
Who we build decision models for
PIs & Clinician-Researchers
When one protocol decision can delay—or kill—funding
We help you defend design logic under IRB/grant/sponsor scrutiny by making assumptions explicit and reviewable.
Pre-empt reviewer attacks • Harden design logic • Fix endpoint timing
→ Go to PIs & Clinicians
Biotech / Pharma / Medtech Teams
When a milestone depends on a protocol that must survive variance
We stress-test protocol, sample size, regimen, and transferability so decisions hold up under real-world drift—before recruitment makes changes expensive.
De-risk protocol lock • Stress-test power realism • Harden regimen robustness
→ Go to Biotech page
Hospitals & Academic Programs
When pathways look clean on paper—but fail between steps.
We model bottlenecks, handoffs, capacity limits, and drop-offs so implementation choices can be tested before rollout.
Surface bottlenecks early • Reduce drop-offs • Test pathway changes
→ Go to Hospitals page
Funds & Boards (Governance)
When capital is exposed to protocol fragility you can’t see yet.
We provide protocol integrity audits and governance risk triage using inspectable, versioned artifacts—so blind spots surface before capital is committed.
Triage milestone risk • Audit design fragility • Demand written defensibility
→ Go to Governance page
Proof you can inspect
Public, versioned artifacts—reviewable by peers
Inspect our math. Outputs are delivered in research-grade formats (LaTeX/PDF) suitable for citation and review—not marketing decks.
Not sure if your protocol is modelable and defensible?
Stage-0 does not optimize outcomes. It tests decision logic.
No sensitive data needed—just the protocol logic and constraints.
You’ll get a short written verdict in ~1 business day.
