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Our readers are aware that for over a year we have been urging our authors to include confidence intervals for the salient data supporting the main conclusions of their papers. For most clinical readers confidence intervals (1) give a much clearer picture of the strength of conclusions in papers than the P values derived from hypothesis testing. Most of our authors are accepting this judgment, but many of them have lacked convenient sources of help in calculating confidence intervals for some types of data.
New help is at hand. The editors of the British Medical Journal, a leader in promoting
Confidence Intervals: A New Manual. Ann Intern Med. ;111:353. doi: 10.7326/0003-4819-111-5-353
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Published: Ann Intern Med. 1989;111(5):353.
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