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Statistical Overkill
Rudolph H. De Jong, MD
JAMA. 1970;212(12):2111.
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| Since this article does not have an abstract, we have provided the first 150 words of the full text PDF and any section headings. |
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Many times we read that treatment A differs significantly from treatment B, as determined by a certain statistical test. Is treatment A therefore better (or worse as the case may be) than treatment B? Often—but not always.
Take for instance the case of Hypopressin, a new drug to reduce blood pressure. In clinical tests at a prestigious university hospital it decreases average systolic pressure by 2.3 mm Hg as compared with a placebo. This, the authors assure us, is a highly significant (P<0.01) reduction.
No question about it, Hypopressin lowers the average blood pressure—but oh how feebly. Would you use it to treat a patient with malignant hypertension? No, for the drug's effect is therapeutically trifling, little better than the placebo. Statistically significant it is, to be sure. But biologically important? Hardly, I daresay.
The opposite can also happen where, either from large sample-to-sample variation or from a shortage of
. . . [Full Text PDF of this Article]
Author Affiliations
University of Washington School of Medicine Seattle
Footnotes
Address editorial communications to the Editor, 535 N Dearborn St, Chicago 60610
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