Advances in survival analysis have facilitated unprecedented flexibility in data modeling, yet there remains a lack of tools for graphically illustrating the influence of continuous covariates on predicted survival outcomes. We propose the utilization of a colored contour plot to depict the predicted survival probabilities over time, and provide a Shiny app and R package as implementations of this tool. Our approach is capable of supporting conventional models, including the Cox and Fine-Gray models. However, its capability shines when coupled with cutting-edge machine learning models such as random survival forests and deep neural networks.

翻译：生存分析的进展为数据建模提供了前所未有的灵活性，但仍缺乏直观展示连续协变量对预测生存结果影响的图形工具。我们提出利用彩色等值线图描绘随时间变化的预测生存概率，并开发了相应的Shiny应用及R语言工具包。该方法能支持经典模型（如Cox模型和Fine-Gray模型），其优势在与随机生存森林及深度神经网络等前沿机器学习模型结合时尤为突出。