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Failure to pay attention to the quality of submitted studies has led reviewers to conclude that editors are not biased against negative studies.

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Why is it important?

I compare two possible extreme hypotheses regarding submission of papers to journals: the Q hypothesis, whereby the decision to submit is based on quality of research; and the P hypothesis, whereby it is based on probability of acceptance. I give five reasons as to why the P hypothesis is more plausible and suggest that problems of missing data may previously have caused researchers to misinterpret the evidence on editorial bias.

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This page is a summary of: Authors are also reviewers: problems in assigning cause for missing negative studies, F1000Research, January 2013, Faculty of 1000, Ltd.,
DOI: 10.12688/f1000research.2-17.v1.
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