Power Calculation for Survival Analysis R
Power calculation for survival analysis R is a critical step in designing clinical trials. It ensures that your study has a high probability of detecting a clinically meaningful effect if one exists.
How to Use This Calculator
- Enter the sample size for each group in the study.
- Set the significance level (alpha) and desired power.
- Click “Calculate” to see the required number of events and the power curve.
Formula & Methodology
The power calculation is based on the following formula…
Real-World Examples
Data & Statistics
Expert Tips
- Always use the most conservative estimate of event rates.
- Consider using a power calculation tool to ensure your study is adequately powered.
Interactive FAQ
What is power in survival analysis?
Power is the probability that a study will detect a true effect, if there is one.
For more information, see the CDC’s Epi Info and the Mayo Clinic’s Biostatistics Division.