Sample Size Calculator for Survival Analysis
Introduction & Importance
Sample size calculation for survival analysis is a critical step in designing clinical trials or observational studies…
How to Use This Calculator
- Enter the event rate…
- Enter the follow-up period…
- Enter the desired power…
- Choose the significance level…
- Click ‘Calculate’…
Formula & Methodology
The sample size calculation for survival analysis is based on the following formula…
Real-World Examples
Case Study 1: A clinical trial aims to detect a 20% reduction in the risk of death…
Case Study 2: An observational study aims to investigate the association between a new biomarker and survival…
Case Study 3: A phase III clinical trial aims to compare the survival of two treatments for a specific cancer…
Data & Statistics
Expert Tips
- Always round up the calculated sample size…
- Consider using a software tool for complex calculations…
- Regularly review and update your sample size calculation…
Interactive FAQ
What is the difference between power and significance level?
Power and significance level are two key parameters in sample size calculation…
How does the event rate affect sample size?
The event rate is a crucial factor in sample size calculation for survival analysis…
Learn more about clinical trials from the National Cancer Institute.
Understand survival analysis from the Centers for Disease Control and Prevention.