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