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Article
April 1985

When Was a 'Negative' Clinical Trial Big Enough?How Many Patients You Needed Depends on What You Found

Author Affiliations

From the Departments of Health Administration and Medicine (Dr Detsky), University of Toronto, and the Departments of Clinical Epidemiology and Biostatistics and Medicine (Dr Sackett), McMaster University, Hamilton, Ontario.

Arch Intern Med. 1985;145(4):709-712. doi:10.1001/archinte.1985.00360040141030
Abstract

• "Negative" clinical trials that conclude that neither of the treatments is superior are often criticized for having enrolled too few patients. These criticisms usually are based on formal sample size calculations that compute the numbers of patients required prospectively, as if the trial had not yet been carried out. We suggest that this "prospective" sample size calculation is incorrect, for once the trial is over we have "hard" data from which to estimate the actual size of the treatment effect. We can either generate confidence limits around the observed treatment effect or retrospectively compare it with the effect hypothesized before the trial. If the observed effect is small, the risk of the false-negative conclusion (and the sample size required to draw negative or equivalency conclusions) is often much less than that generated by the "prospective" calculation.

(Arch Intern Med 1985;145:709-712)

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