Postpublication metrics of randomized clinical trials with and without null findings

Stuart B. Murray*, James A. Heathers, Rebecca M. Schauer, Scott Griffiths, Deborah Mitchison, Jonathan M. Mond, Jason M. Nagata

*Corresponding author for this work

Research output: Contribution to journalLetter

6 Citations (Scopus)

Abstract

Publication bias can arise from investigators not submitting studies with outcomes that do not support their hypotheses or from journals selectively publishing studies in which the results are statistically significant. Publication bias may arise from the perception that nonsignificant findings will garner less scientific or public attention than findings that confirm study hypotheses. However, whether this perception is accurate is unknown. Thus, we investigated the association between whether a study supported or rejected the null hypothesis and postpublication metrics reflecting scientific and public interest.
Original languageEnglish
Pages (from-to)1825-1826
Number of pages2
JournalJAMA: Journal of the American Medical Association
Volume321
Issue number18
DOIs
Publication statusPublished - 14 May 2019
Externally publishedYes

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