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ABSTRACT: Objectives
There are increasing requirements to make research data, especially clinical trial data, more broadly available for secondary analyses. However, data availability remains a challenge due to complex privacy requirements. This challenge can potentially be addressed using synthetic data.Setting
Replication of a published stage III colon cancer trial secondary analysis using synthetic data generated by a machine learning method.Participants
There were 1543 patients in the control arm that were included in our analysis.Primary and secondary outcome measures
Analyses from a study published on the real dataset were replicated on synthetic data to investigate the relationship between bowel obstruction and event-free survival. Information theoretic metrics
SUBMITTER: Azizi Z
PROVIDER: S-EPMC8055130 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature