Clinical Trial Sample Size Calculator

Comprehensive power analysis for clinical trial design

Continuous
Dichotomous
Survival
Clustered
Longitudinal

Study Design

Power Triplet

Typically 0.05
Typically 0.80 or 0.90

Effect Size Parameters

Smallest clinically meaningful difference
From prior studies or pilot data

Allocation

k=1 for equal allocation (most efficient)

Study Design

Power Parameters

Proportion Parameters

Proportion in control group
Expected proportion in treatment group

Allocation

Study Design

Power Parameters

Note: This calculator assumes exponential survival (constant hazard) when converting required events to total sample size.

Hazard Parameters

HR < 1 favors treatment

Study Duration

Time to enroll all subjects
Minimum follow-up after last enrollment
For calculating event probabilities

Allocation

Outcome Type

Power Parameters

Effect Parameters (Continuous)

Cluster Parameters

Correlation within clusters (0-1)
Average number of subjects per cluster

Study Design

Power Parameters

Effect Parameters

Difference in slopes or means

Repeated Measures

Total assessments per subject
Between-measurement correlation

Allocation & Adjustment

Missing Data Adjustment

Percentage expected to drop out