Evidence by Design | The Research Operating System for HEOR

N.º 02 Solutions

Wherever you are in the study, start there.

Six doors into the same workspace — three by the stage your research is in, three by the shape of your team.

By stage

Design a Study

Frame the question, choose the design, and leave with a protocol reviewers respect.

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Analyze Your Data

Bring the dataset; run reproducible models with the audit trail built in.

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Write Your Paper

Turn results into a submission-ready manuscript without retyping a single table.

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By team

HEOR Teams

Dossiers, models, and evidence submissions — all moving on one clock.

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Academic Labs

From grant idea to publication, with every student on the same page.

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Hospital Research

Real-world evidence from your own wards — governed, auditable, reproducible.

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N.º 03 The System

Three movements, one system.

The workspace follows the arc of every study — start, analyze, write — and carries your work forward between them, so nothing is retyped and nothing is lost.

01 Start my research

Design a study that survives review.

Begin with living protocol templates for cohort, case-control, and interventional designs. The workspace asks the questions a reviewer would — endpoints, confounders, power — and assembles the protocol as you answer them.

Protocol & SAP templates, versioned
PICO framing and endpoint definitions
Power & sample-size engines, textbook-validated

Explore the templates →

Fig. 2 — Protocol builder, cohort design.

Protocol — v3

cohort · reviewed

Endpointsprimary + 2 secondary defined✓

Sample sizen = 2,400 · power 0.84✓

ConfoundersDAG mapped, 9 covariates✓

Ethicssubmission drafting●

02 Analyze my data

Analysis your future self can rerun.

Connect your dataset and work in guided, scripted analyses — every model, every exclusion, every table logged as you go. When a co-author asks where a number came from, the answer is one click, not one week.

Scripted, reproducible pipelines (R & Python)
Cohort & exclusion audit trail
Journal-ready tables on export

Explore the code library →

Fig. 3 — Output, as the journal will print it.

Table 2 — Adjusted hazard ratios, primary cohort
Outcome	HR	95% CI	p
MACE	0.82	0.71–0.95	0.009
Hospitalization	0.77	0.66–0.90	0.001
All-cause mortality	0.91	0.76–1.09	0.284
adjusted for 9 covariates · generated from pipeline run #41

03 Write my paper

The manuscript writes itself around your results.

Results flow into a structured draft — methods from your protocol, tables from your analysis, references formatted to the target journal. You edit the science; the formatting takes care of itself.

IMRaD manuscript scaffolds per journal
Tables & references auto-formatted
Word and LaTeX export

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Fig. 4 — Draft four, assembling itself.

manuscript.docx — draft 42 co-authors editing

Comparative effectiveness of GLP-1 receptor agonists: a real-world cohort study

[ Table 2 inserted from pipeline run #41 ]

references: Vancouver · formatted 38 of 38

N.º 04 Products

The instruments.

Everything in the workspace is also available on its own — take one instrument or the whole bench.

P–01

Research Templates

Protocols, SAPs, and reporting checklists — versioned, citable, reviewer-tested.

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P–02

Code Library

Vetted R and Python for the epi and HEOR workhorses, documented end to end.

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P–03

Calculators & Tools

Sample size, power, and beyond — validated against the textbook values.

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P–04

Study Workspace

The full operating system — from first question to formatted submission.

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N.º 05 Academy

Learn the craft.

Short courses and worked case studies in study design, pharmacoepidemiology, and HEOR — taught the way papers actually get made, by people who make them.

Browse the Academy →

N.º 06 Community

You're not writing alone.

A member forum where researchers share templates, review each other's protocols, and celebrate acceptances together — quiet, generous, and moderated.

Join the community →