Compare trial planning scenarios
How might site counts and enrollment rates change your timeline and budget? Adjust a synthetic example to compare three planning scenarios.
Study assumptions
Saved scenarios stay in this browser on this device. Anyone using the same browser can reopen them. Account sync and backups are not available. Use synthetic figures only.
Compare three scenarios
Update the scenarios after changing an input. All amounts are in USD.
View all calculation assumptions
The three scenarios use fixed assumptions. They are not probabilities or statistical prediction intervals.
- Optimistic: enrollment rate ×1.25, startup delay ×0.5, screen failure and dropout rates ×0.8, monthly operating cost ×0.95
- Base: your inputs as entered
- Pessimistic: enrollment rate ×0.65, startup delay ×1.5, screen failure rate ×1.15, dropout rate ×1.3, monthly operating cost ×1.1
Screen failure and dropout rates are capped at 95%. All sites are assumed to open at the same time, with constant enrollment rates. Monthly enrollment counts participants who pass screening, so screen failures affect the number screened and the associated cost.
Timeline = startup delay + enrollment months rounded up + an assumed one-month wrap-up. Treatment and follow-up are excluded. Dropout affects the estimated number retained; replacement recruitment is not modeled.
Budget = sites × site startup cost + participants screened × cost per screened participant + planning months × monthly operating cost × the scenario multiplier. This is not a quote or a total trial budget.
This prototype uses synthetic inputs and deterministic calculations. It is not a clinical trial protocol, statistical analysis plan, sample-size justification, safety prediction, or evidence of cost savings. Use qualified clinical, statistical and regulatory review before any real study decision.