Clinical Trial Sample Size Calculator

Design superior, non-inferiority, and equivalence trials with comprehensive sample size calculations and advanced visualizations

Import from PDF (Optional)

Upload a research protocol to auto-extract trial parameters

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Study Design Parameters

Standard statistical parameters for clinical trial design

Significance Level (α) (%)

Type I error rate - probability of false positive (typically 5%)

💡 Example: 5 for p < 0.05 (standard)

Statistical Power (%)

Probability of detecting a true effect (80-90% recommended)

💡 Example: 80 for 80% power (standard)

Allocation Ratio

Ratio of participants between groups (1 = equal groups)

💡 Example: 1 for 1:1 randomization

Superiority Trial Design

Demonstrate that the new treatment is significantly better than control. Example scenario: Testing a new treatment to achieve higher cure rates than standard therapy.

Primary Outcome Type

Choose the type of primary outcome measure for your trial

Control Group Success Rate (%)

Expected percentage of participants in control group achieving the primary outcome (e.g., 60% cure rate with standard therapy)

💡 Example: 25.0 for 25% event rate

Treatment Group Success Rate (%)

Expected percentage of participants in treatment group achieving the primary outcome (e.g., 75% cure rate with new therapy - 25% relative improvement)

💡 Example: 25.0 for 25% event rate

Study Implementation

Account for practical aspects of conducting the clinical trial

Expected Dropout Rate (%)

Percentage of participants expected to drop out or be lost to follow-up during the study (15% is typical for most clinical trials)

💡 Example: 25.0 for 25% event rate