LEONARD E. BRAITMAN, Ph.D.
A paper reporting a trial of a new treatment or diagnostic test is difficult to interpret when its conclusions are based on a small number of subjects. The statistical descriptors known as confidence intervals can increase the ability of readers to evaluate conclusions drawn from small trials. Fortunately, an increasing number of journals are asking authors to add confidence intervals to the reporting of data in their papers (1-9).
Most clinical studies are necessarily based on a sample (a group of patients or experimental subjects) thought to be reasonably representative of the entire population of patients or of the subjects
LEONARD E. BRAITMAN. Confidence Intervals Extract Clinically Useful Information from Data. Ann Intern Med. 1988;108:296–298. doi: 10.7326/0003-4819-108-2-296
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Published: Ann Intern Med. 1988;108(2):296-298.
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