Abstract:
:The pressure for every research article to tell a clear story often leads researchers in the life sciences to exclude experiments that 'did not work' when they write up their results. However, this practice can lead to reporting bias if the decisions about which experiments to exclude are taken after data have been collected and analyzed. Here we discuss how to balance clarity and thoroughness when reporting the results of research, and suggest that predefining the criteria for excluding experiments might help researchers to achieve this balance.
journal_name
Elifejournal_title
eLifeauthors
Neves K,Amaral OBdoi
10.7554/eLife.56626subject
Has Abstractpub_date
2020-05-22 00:00:00issn
2050-084Xpii
56626journal_volume
9pub_type
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