Assessing treatment effects and publication bias across different specialties in medicine: a large empirical study of the Cochrane Database of Systematic Reviews
Schwab S; Giuachin K; Held L · 2020 · Preprint
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
The finding, in one line
“As a consequence small studies with large treatment effects are more likely to be reported than studies with a null result which causes asymmetry.”
Abstract (excerpt)
Publication bias is a persisting problem in meta-analyses for evidence based medicine. As a consequence small studies with large treatment effects are more likely to be reported than studies with a null result which causes asymmetry. Here,…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: Europe PMC · DOI 10.31222/osf.io/t6cjx
