Interpreting trial results: time for confidence and magnitude and not P values please

Jonathan C. Craig

doi:10.1016/j.kint.2018.11.006

Interpreting trial results: time for confidence and magnitude and not P values please

Jonathan C. Craig

College of Medicine and Public Health

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

The problems with the P value as the single metric to summarize the results of a study are being recognized. It captures a single domain—random error—but it is relatively uninformative about more critical domains for deciding whether the results should be applied to clinical care and policy. Alternatives include the components of the outcomes reported (relevance, magnitude, frailty, and net benefit) and confidence (risk of bias and directness).

Original language	English
Pages (from-to)	28-30
Number of pages	3
Journal	Kidney International
Volume	95
Issue number	1
DOIs	https://doi.org/10.1016/j.kint.2018.11.006
Publication status	Published - 1 Jan 2019

Keywords

clinical trials
P-values
test statistics

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10.1016/j.kint.2018.11.006Licence: In Copyright

Cite this

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KW - test statistics

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Interpreting trial results: time for confidence and magnitude and not P values please

Abstract

Keywords

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