article · 2008
EDITORIAL No Significant Difference...Says
Cited by 0Abstract and details only
Abstract
of the meaning and importance of P values in the medical literature. As readers of the literature, many of us too often merely look at the results of a trial and take the authors at their word regarding the statistical significance of their findings. Dr. Cloft’s main point was that, as readers, we need to critically evaluate the findings that are being presented to us. Not only do we need to consider the questions that Dr. Cloft posed for positive statistical findings (Why should I care? Is the result consistent with my experience? Were the right tests and the right numbers used?) but also we need to equally critically evaluate negative findings. If an author tells us that there was no significant difference between groups, should we believe it? This depends on many issues and raises the question of statistical power. P values describe the risk of making a type I error (�) (that
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(2008). EDITORIAL No Significant Difference...Says.
“EDITORIAL No Significant Difference...Says.” 2008.
2008. “EDITORIAL No Significant Difference...Says.”
(2008) ‘EDITORIAL No Significant Difference...Says’.
@article{anon2008editorial,
title = {{EDITORIAL No Significant Difference...Says}},
year = {2008}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.