Replicate-level synthetic benchmark for parametric competing-risks inference under censoring and varying latent dependence

This repository provides a reproducible simulation dataset and benchmark for evaluating parametric competing-risks inference under censoring and varying latent dependence. It includes independent latent failure times and Clayton, Frank and Gumbel copula dependence. The dataset supports the assessment of test size, statistical power, parameter bias, root-mean-square error, confidence-interval coverage, Monte Carlo uncertainty, test availability and boundary behaviour across a structured collection of simulation conditions. The final release is approximately 102.11 MiB and contains 343 files. It includes registries describing 303 block-specific scenarios, 291 unique statistical conditions, and the corresponding null and true cause-specific parameters. The main simulation results are stored in 303 Parquet partitions containing 648,000 replicate-level records. Derived products report test-specific rejection and coverage rates, estimator bias and RMSE, Monte Carlo standard errors, Wilson intervals, failure bounds and bootstrap coverage. A representative subject-level Parquet file is also included. It contains 35,250 rows generated from five replicates for each of 93 selected moderate-profile null scenarios. This file provides a documented example of the subject-level data structure. It is not a complete subject-level copy of all 648,000 simulated studies. The repository also contains validation results, four figures with their source data, a comprehensive data dictionary, a file manifest and SHA-256 checksums. The data dictionary documents the fields, stored data types, units, permitted values and missing-value meanings for 27 file schemas. The manifest records and verifies 341 payload files. The manifest and checksum files are excluded from their own inventory. All records were generated through controlled simulation. They do not represent real individuals, patients or observed populations. The dataset is intended for methodological evaluation, software verification, statistical education and reproducible comparison of competing-risks inference procedures. It should not be used to estimate real-world prevalence, incidence or clinical effects. Archive integrity: The SHA-256 checksum of the deposited release ZIP is `42f07751c4143517503bc64975f424c938a7b9fc153544f63808bba2eceb4f40`. This value verifies the ZIP file exactly as deposited. After extraction, the 341 payload files can be verified using `manifests/file_manifest.csv` and `manifests/sha256_checksums.txt`.