Power Calculation for Survival Analysis
Introduction & Importance
Power calculation for survival analysis is a crucial step in designing clinical trials…
How to Use This Calculator
- Enter the significance level (α).
- Enter the desired power (1 – β).
- Enter the expected effect size.
- Enter the sample size (n).
- Click ‘Calculate’.
Formula & Methodology
The formula used in this calculator is based on the work of…
Real-World Examples
Data & Statistics
| Method | Power | Sample Size |
|---|---|---|
| Log-rank test | 0.8 | 120 |
| Cox proportional hazards model | 0.85 | 105 |
Expert Tips
- Consider using a power analysis software for complex scenarios.
- Always round up the calculated sample size to ensure adequate power.
Interactive FAQ
What is the difference between α and β?
α is the significance level, and β is the probability of a type II error…
For more information, see the CDC’s guide on power analysis and the NIA’s resources on clinical trials.