Statistics review 3: Hypothesis testing and P values
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Corresponding authors: Elise Whitley editorial@ccforum.com - Jonathan Ball editorial@ccforum.com
1 Lecturer in Medical Statistics, University of Bristol, UK
2 Lecturer in Intensive Care Medicine, St George's Hospital Medical School, London, UK
Critical Care 2003, 7:15 doi:10.1186/cc1868
See related Review: http://ccforum.com/content/6/3/222
The electronic version of this article is the complete one and can be found online at:
| Published: | 13 December 2002 |
© 2003 BioMed Central Ltd
Erratum
An erratum to Statistics review 3: Hypothesis testing and Pvalues, by Elise Whitley and Jonathan Ball.
In the original version of this article [1], the words 'if the null hypothesis is true' were omitted from the first sentence of the first key message. The key message should have read as follows:
'A P value is the probability that an observed effect is simply due to chance, if the Null hypothesis is true; it therefore provides a measure of the strength of an association. A P value does not provide any measure of the size of an effect, and cannot be used in isolation to inform clinical judgement.'
References
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Whitley E, Ball J: Statistics review 3: Hypothesis testing and P values.
Crit Care 2002, 6:222-225. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text