This article provides a comprehensive introduction to synthetic data in healthcare research, exploring how artificially generated datasets can preserve statistical properties while protecting patient privacy. Through two detailed case studies and practical R implementations, it guides researchers in understanding when synthetic data is appropriate, how to generate and validate it, and how to navigate the essential trade-offs between privacy, utility, and fidelity.
2025-11-18T13:47:45.677Z
