Recent advances in survival analysis include the development of more sophisticated statistical models and techniques that accommodate complex data structures, such as high-dimensional data and time-varying covariates. Machine learning approaches are also being integrated into survival analysis, offering new opportunities for enhancing predictive accuracy and uncovering hidden patterns in survival data.
