Sample Size Calculator for Survival Analysis in R
Expert Guide to Sample Size Calculation for Survival Analysis in R
Introduction & Importance
Sample size calculation for survival analysis in R is crucial for designing effective studies…
How to Use This Calculator
- Enter the desired significance level (alpha).
- Enter the desired power of the test.
- Enter the expected effect size.
- Choose the control to treatment ratio.
- Click ‘Calculate’.
Formula & Methodology
The sample size calculation is based on the formula…
Real-World Examples
Case Study 1
In a clinical trial for a new cancer drug…
Data & Statistics
| Alpha | Power | Effect | Ratio | Sample Size |
|---|---|---|---|---|
| 0.05 | 0.8 | 0.2 | 1:1 | 128 |
Expert Tips
- Consider using a pilot study to estimate parameters.
- Be mindful of dropouts and use an appropriate dropout rate.
Interactive FAQ
What is the default alpha value?
The default alpha value is 0.05.
For more information, see the NCI’s guide on clinical trials and the R survival analysis guide.