Your English writing platform
Discover LudwigExact(7)
The second effect results from multiple independent testing of the same hypotheses by competing research groups.
Second, the overall evidence on an interaction becomes increasingly distorted by multiple independent testing.
Second, we find evidence for a negative effect of a high popularity due to multiple independent testing.
Multiple independent testing increases the fraction of false hypotheses among those hypotheses that are supported by at least one positive result.
In addition, the low effort required for publishing in wikis might help to make negative findings more visible and thereby reduce the impact of false positives that result, for example, from multiple independent testing.
Nevertheless, the observed decrease of about 50% in the confirmation probability for interactions of popular proteins indicates that the effects of competition and multiple independent testing on the reliability of research cannot be neglected.
Similar(53)
To single out significant tests in a group, raw significance probabilities were corrected by the sequential Bonferroni method for multiple independent tests as indicated in [60].
The values represent the means ± SD of multiple independent tests.
To correct for multiple independent tests, we used the false discovery rate procedure [ 17].
This calls for the development of multiple independent tests that can be carried out in parallel.
Since multiple independent tests were run simultaneously, the Benjamini Hochberg procedure (BH step-up procedure) [ 24] was used to control for the false discovery rate.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com