vivaGen

vivaGen generates survival datasets for testing and validation of survival analysis methods by producing time-to-event data with configurable sample size, censoring rates, and event distributions.


Key Features:

  • Dataset Generation: Generates realistic survival datasets for testing and benchmarking survival analysis software and algorithms.
  • Customizability: Allows configuration of sample size, censoring rates, and event distributions to mimic diverse clinical scenarios.
  • Reproducibility: Produces consistent datasets to enable reproducible software testing and benchmarking.
  • Time-to-event Simulation: Simulates time-to-event data using statistical models and handles right-censored observations representative of clinical trial data.

Scientific Applications:

  • Algorithm Development: Provides diverse simulated datasets to develop and refine algorithms for survival analysis.
  • Software Validation: Enables comprehensive testing and benchmarking of software applications designed for survival analysis.
  • Educational Use: Supplies datasets for training and teaching survival analysis concepts through practical examples.

Methodology:

Simulates time-to-event data using statistical models that reflect clinical trial characteristics and explicitly handles right-censored observations.

Topics

Details

License:
GPL-2.0
Programming Languages:
Java
Added:
1/18/2021
Last Updated:
3/13/2021

Operations

Publications

Gietzelt M, Karmen C, Knaup-Gregori P, Ganzinger M. vivaGen – a survival data set generator for software testing. BMC Bioinformatics. 2020;21(1). doi:10.1186/s12859-020-3478-x. PMID:32349651. PMCID:PMC7191767.

PMID: 32349651
PMCID: PMC7191767
Funding: - Bundesministerium f?r Bildung und Forschung: 01ZX1609A, 16PGF0182