SurvivalContour

SurvivalContour visualizes predicted survival probabilities over time using colored contour plots to illustrate the influence of continuous covariates on survival outcomes.

Key Features:

• Contour Plot Visualization: Depicts predicted survival probabilities over time using colored contour plots.
• Multiple Model Support: Supports conventional statistical models including Cox and Fine-Gray models, as well as machine learning models such as random survival forests and deep neural networks.
• Continuous Covariate Illustration: Addresses the gap in tools for illustrating how continuous covariates influence predicted survival outcomes.

Scientific Applications:

• Survival Analysis Visualization: Visualizes predicted survival outcomes from flexible survival analysis data modeling approaches.
• Machine Learning Survival Model Interpretation: Enables interpretation of complex machine learning survival models including random survival forests and deep neural networks through contour-based probability visualization.
• Competing Risks Analysis: Supports Fine-Gray models for analyzing competing risks scenarios.

Methodology:

SurvivalContour employs colored contour plots to depict predicted survival probabilities over time, with support for conventional models (Cox and Fine-Gray) and machine learning models (random survival forests and deep neural networks).