Adverse Event Detection & Clinical Trial Power Lab

Biostatistical Sample Size, Phase I–IV Detection Power & Pharmacovigilance Surveillance Simulator
Preset Scenarios:
Parameters & Base Rates
True Adverse Event Rate 2.5 per 100k
Rate per 100,000 vaccinated individuals
Disease Baseline Incidence 1,200 per 100k
Intervention Efficacy 92%
Phase III Cohort Size (N) 40,000
Phase IV Population (N) 2,500,000
Statistical Confidence Goal 95% (Rule of 3)
Biostatistical Rule of Three:
To have a 95% chance of observing at least 1 rare adverse event with true rate 1 in 40,000, a trial requires a sample size of 120,000 participants.
Binomial Detection Power by Clinical Trial Phase P(k ≥ 1) = 1 - (1 - p)^N
Phase III Detection Power
63.21%
N = 40,000 cohort
Phase IV Post-Market Power
99.99%
N = 2,500,000 surveillance
Rule of 3 Sample Needed
120,000
For 95% certainty of ≥1 event
Benefit-Risk Ratio
441.6
Prevented Cases / Adverse Event
Phase Typical Sample Size (N) Expected Events Detection Power P(≥1) Surveillance Status
Stochastic Trial Cohort Simulator (N = 500 Dot Sample) Scaled micro-cohort

Each dot represents a vaccinated individual in a scaled clinical micro-cohort. Green indicates prevented severe disease cases, blue indicates healthy protected recipients, and red indicates observed serious adverse reactions.

Prevented: 0 Adverse: 0
Pharmacovigilance Signal Status: No statistically anomalous adverse clusters observed in active Phase III sample.
Population Health Balance (Per Million Patients) Absolute Impact Metric
Clinical Metric Value per 1,000,000 Interpretation
Baseline Disease Cases 12,000 Without vaccination / intervention
Prevented Severe Cases 11,040 Cases averted via efficacy
Expected Rare Adverse Events 25 True rate: 2.5 / 100k
Net Prevented Burden +11,015 Lives protected minus severe reactions
Number Needed to Treat (NNT) 91 Patients treated to prevent 1 disease case
Number Needed to Harm (NNH) 40,000 Patients treated before 1 adverse event
Biostatistical takeaway: Clinical trials with N=30,000 to N=50,000 are powered to detect side effects that occur in 1 in 10,000 or more frequent. Ultra-rare events (1 in 40,000 to 1 in 100,000) mathematically require Phase IV continuous pharmacovigilance (e.g. VAERS, Yellow Card, V-Safe) over millions of administered doses.
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Export current power calculations, binomial curves, and population balance models for clinical trial dossiers.
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