Sample Size Calculation: from Classical to Simulative Approaches

The course aims to provide students with a thorough understanding of the main methods for sample size calculation, exploring both traditional and simulation-based approaches. By the end of the course, participants will be able to:
1.Understand the theoretical foundations behind classical sample size calculation methods, including concepts such as statistical power, type I and II errors, and the determination of optimal sample sizes.
2.Apply classical techniques for sample size calculation in practical contexts, such as observational and experimental studies, using standardized tools and formulas.
3.Understand and implement simulation-based approaches, such as bootstrap and Monte Carlo simulations, for sample size calculation in complex and non-standard scenarios.
4.Compare the advantages and limitations of classical methods versus simulation-based approaches, with particular attention to accuracy and flexibility in real-world situations.
5.Develop practical skills in using R to perform sample size analysis.