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Clinical Significance

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Behavioral Clinical Trials for Chronic Diseases

Abstract

This chapter first considers the strengths and limitations of statistical inference. Its limitations are often overlooked relative to its convenience and immense popularity as a decision-making metric. This background provides the basis for the argument that statistical significance is not the only, or the best, judge for making the case that a behavioral treatment can move a chronic disease endpoint. More persuasive is a demonstration of clinical significance where a behavioral treatment is strong enough to neutralize the risk incurred by a behavioral risk factor. The second part of the chapter is directed toward how to identify clinically significant treatment targets, incorporate clinical significance into the analysis of trial results, and integrate clinical significance into the calculation of sample size. The contribution of any single behavioral trial is assessed by the strength of the scientific conclusions drawn from it. This includes a clinically significant benefit of treatment, quantified certainty that this benefit is greater than a relevant comparator, biologic plausibility, and consistency with results from past studies. The conclusion that a behavioral treatment improves health can only be answered progressively, through replication.

“To say that a great deal of mischief has been associated with the test of significance is hardly original. It is what ‘everybody knows.’. . . . To say it ‘out loud’ is to assume the role of the child who pointed out that the emperor was really outfitted in his underwear.”

Bakan 1966 [1]

“If this comment was hardly original in 1966, it can hardly be original now. Yet this naked emperor has been shamelessly running around for a long time.”

Cohen, 1994 [2]

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Powell, L.H., Kaufmann, P.G., Freedland, K.E. (2021). Clinical Significance. In: Behavioral Clinical Trials for Chronic Diseases. Springer, Cham. https://doi.org/10.1007/978-3-030-39330-4_5

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