Seventy-seven percent reproduced in a large cancer data test
A check using computer tools on cancer data finds many results hold up, but data gaps slow perfect replication and caution is needed.
- Publication
- arXiv
- Stage
- Preprint
- What we read
- Summary of the paper
- Authors
- Shicheng Liu, Krista Opsahl-Ong, Andrew Drozdov, Julian Killingback, Arnav Singhvi, Ronak Pradeep, Michael Bendersky, James C. Dickerson, Monica S. Lam
- Universities and research institutions
- Not yet supplied in verified metadata; the Brief does not guess.
What they did and found
In a large effort, computer tools tried to repeat study results using a national cancer data set called the Surveillance, Epidemiology and End Results program. About seventy-seven percent matched core findings, but data gaps remained.
Why it matters
Knowing what computer checks can and cannot reproduce helps doctors and researchers decide when to trust published findings.
In a large effort, computer tools tried to repeat study results using a national cancer data set called the Surveillance, Epidemiology and End Results program. About seventy-seven percent matched core findings, but data gaps remained.
A hypothetical work example would show how a doctor could use automated checks to flag parts that need human review rather than replacing expert judgment. Should doctors rely on automated checks or prefer human review?
What remains uncertain
Reproduction was limited by missing historical data and uneven documentation, which prevented full replication across every result.
Original sources · 1
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