Generating high-fidelity synthetic time-to-event datasets to improve data transparency and accessibility

Generating high-fidelity synthetic time-to-event datasets to improve data transparency and accessibility

Abstract Background A lack of available data and statistical code being published alongside journal articles provides a significant barrier to open scientific discourse, and reproducibility of research. Information governance restrictions inhibit the active dissemination of individual level data to...

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Bibliographic Details
Main Authors: Aiden Smith, Paul C. Lambert, Mark J. Rutherford
Format: Article
Language:English
Published: BMC 2022-06-01
Series:BMC Medical Research Methodology
Subjects:
Simulation
Survival
Data accessibility
Flexible parametric survival models
Reproducible research
Time-to-event
Online Access:https://doi.org/10.1186/s12874-022-01654-1

Internet

https://doi.org/10.1186/s12874-022-01654-1

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