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  Vol. 163 No. 7, April 14, 2003 TABLE OF CONTENTS
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Insignificant Data Cannot Yield Statistically Significant Conclusions

Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings.

You cannot use insignificant numbers to draw statistically significant conclusions. He and colleagues1 claim to have shown a positive relationship between salt intake and the later development (over a 19-year time frame) of congestive heart failure in overweight (P = .02 for trend) but not normal weight men and women. Their major investigative variable, reported 1-day salt intake extrapolated to presumed lifelong salt intake, is based on the First National Health and Nutrition Examination Survey (NHANES I) numbers derived from each individual's recall of a single day's food and salt intake.

Even if it were valid to extrapolate a lifetime of salt intake from a single day's estimated value (which is highly questionable), it is amazing that the authors give credence to, and base their conclusions on, "estimates" of salt intake that are so obviously wrong, both in their absolute numbers and in the population distribution curve. Somehow, the . . . [Full Text of this Article]


RELATED ARTICLE

Insignificant Data Cannot Yield Statistically Significant Conclusions—Reply
Jiang He
Arch Intern Med. 2003;163(7):856.
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