Competing Risks Survival Data for Bayesian Nonparametric Modeling

A 1.8 MB dataset from figshare, last updated May 2026, accompanies a paper by Claudio Del Sole on competing risks survival analysis. It supports a Bayesian nonparametric model for predicting event types and estimating survival functions. The paper includes simulation studies and an application to clinical datasets.

Use Cases

• Estimating cause-specific incidence functions based on transition probability models.
• Predicting the probability of a future event being of a specific type over time.
• Performing posterior inference on survival functions using hierarchical completely random measures.
• Simulating competing risks data to evaluate model and algorithm performance.

Strengths

• Includes a novel 'prediction curve' function for forecasting event types over time.
• The model is evaluated through simulation studies mentioned in the description.
• Data is provided under a CC-BY-4.0 license for open use.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary files are PDF and ZIP, suggesting the raw data may require extraction.

Provenance

Source

figshare

Collection Method

Likely generated or compiled for the associated research paper.

Freshness

Last updated 2026-05-11 13:59:33