An Introduction to Clinical Trial Simulation [Video]

Clinical trial simulation uses mathematical and statistical models to test possible study scenarios before a trial begins. This video explains how clinical trial simulation supports decisions under uncertainty, where it can inform clinical trial design, and why it should not be treated as a prediction of exactly what will happen.

WHAT THIS VIDEO COVERS
• How clinical trial simulation differs from clinical simulation
• How simulation supports early dose planning, escalation rules and sampling schedules
• Why Phase 2 simulation often focuses on proof of concept, endpoints and dose-response uncertainty
• How late-phase simulation can test assumptions around missing data, survival outcomes and dropout
• Why the decision question should drive the model choice
• Common risks, including overfitting sparse data and using unrealistic scenarios

Good simulation work helps teams understand how a proposed design may behave when assumptions change. Its value comes from clear decision questions, credible scenarios, careful documentation, and outputs that translate probabilities into practical trade-offs.

Quanticate’s statistical consultancy team can help you use clinical trial simulation to stress-test assumptions, quantify risk, and support dose, endpoint, and analysis decisions. We’ll review your decision question, available data, and practical constraints, then recommend a proportionate approach with clear assumptions and decision-ready outputs. Request a consultation to discuss your programme and next steps.