Flow
Map the process. Keep evidence with each step
Map the process. Keep evidence with each step
Prepare one dataset. Reuse it across your work
| Participant | Visit | Group | Response |
|---|---|---|---|
| P001 | Baseline | Intervention | 48.2 |
| P001 | Week 4 | Intervention | 36.7 |
| P002 | Baseline | Comparator | 51.4 |
| P002 | Week 4 | Comparator | 47.8 |
| P003 | Baseline | Intervention | 44.1 |
Turn patterns into figures you can explain
Examine effects, uncertainty and assumptions
240 participants · 140 events · 24-month follow-up
| Covariate | HR | 95% CI | p |
|---|---|---|---|
| Intervention vs comparator | 0.79 | 0.56–1.10 | 0.165 |
| Age, per 10 years | 1.13 | 0.90–1.41 | 0.287 |
| Risk score, per SD | 1.75 | 1.45–2.12 | <0.001 |
Concordance: 0.64 · Adjusted for age and baseline risk.
Synthetic cohort · Demonstration results
Keep every claim connected to its source
Interpret the observed difference alongside the uncertainty of the estimate and the study population.1
Write together with your research close at hand
Bring the analysis and figure into the same document. Keep the reasoning beside the result.
Understand the method before you apply it
Explore precision, sample size and the assumptions behind an estimate.
Give your study a clear starting structure
Adapt the structure to your study and requirements.
Map your process, on your own or with your team. Connect data, tables, charts, statistics, notes, and background research to the steps they support, keeping the plan and the work together.
Define eligibility before recruitment. Keep the rationale for exclusions with this step.
Eligibility criteria reviewed
Recruitment assumptions documented
| Criterion | Specification |
|---|---|
| Population | Adults with the condition |
| Setting | Participating study sites |
| Exclusions | Record with rationale |
Event-free survival · Saved chart
240 participants · 140 events · 24-month follow-up
| Covariate | HR | 95% CI | p |
|---|---|---|---|
| Intervention vs comparator | 0.79 | 0.56–1.10 | 0.165 |
| Age, per 10 years | 1.13 | 0.90–1.41 | 0.287 |
| Risk score, per SD | 1.75 | 1.45–2.12 | <0.001 |
Concordance: 0.64 · Adjusted for age and baseline risk.
Synthetic cohort · Demonstration results
Analysis plan · Section 4
Study protocol · Eligibility criteria

MD PhD MPH “Builder of things”
I’m a physician-scientist with technical expertise in AI and a deep focus on real-world evidence. I advise organizations in the regulated life sciences industry, connecting scientific and technical expertise with strategic and regulatory guidance.
Every research project begins with a question and a process to work through. Whether you work independently or bring together several stakeholders, mapping that process creates a shared understanding of what needs to happen and why.
The flowchart is the plan. Data, tables, charts, statistics, notes, and background research give each step the detail it needs. I built LifeScio to keep those pieces connected and make it simpler to turn a plan into work, together.
LifeScio is free to use. To support continued development and operating costs,
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