Sample Size Calculation Survival Analysis Stata
Introduction & Importance
Sample size calculation for survival analysis in Stata is crucial for ensuring your study has enough power to detect meaningful effects…
How to Use This Calculator
- Enter the desired significance level (alpha), power, and effect size.
- Click ‘Calculate’.
- View the results below the calculator.
Formula & Methodology
The sample size calculation is based on the following formula…
Real-World Examples
Case Study 1
Suppose you want to conduct a survival analysis in Stata with an alpha of 0.05, power of 0.8, and an expected hazard ratio of 1.5…
Data & Statistics
| Alpha | Power | Effect Size | Sample Size |
|---|---|---|---|
| 0.05 | 0.8 | 1.5 | 128 |
| 0.05 | 0.9 | 1.5 | 164 |
Expert Tips
- Always round up the calculated sample size to ensure sufficient power.
- Consider using a pilot study to estimate the variance and improve the sample size calculation.
Interactive FAQ
What is survival analysis?
Survival analysis is a statistical method used to analyze the time it takes for an event to occur…
For more information, see the Stata Survival Analysis documentation.