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Assessing Efficacy Data

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Part of the book series: SpringerBriefs in Pharmaceutical Science & Drug Development ((BRIEFSPSDD))

Abstract

A drug must demonstrate efficacy to be given marketing approval. That is, it must provide therapeutic benefit to patients with the disease or condition of clinical concern. Efficacy is assessed in two ways: there must be compelling evidence of both statistically significant efficacy and clinically significant efficacy. The former is addressed via formalized hypothesis testing involving the creation of a research question, a research hypothesis, and the null hypothesis. The latter is addressed via the placement of confidence intervals around the drug’s treatment effect. While important, the demonstration of statistically significant efficacy alone does not equate to the demonstration of a biologically and medically important degree of efficacy. Statistical significance addresses the reliability of the treatment effect, while clinical significance addresses the magnitude of the treatment effect, i.e., its degree of therapeutic benefit.

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References

  1. Turner JR (2011) A concise guide to clinical trials. Turner Medical Communications LLC, Chapel Hill

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  2. Turner JR (2010) New drug development: An introduction to clinical trials, 2nd edn. Springer, New York

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  3. Gardner MJ, Altman DG (1986) Estimation rather than hypothesis testing: confidence intervals rather than p-values. In: Gardner MJ, Altman DG (eds) Statistics with confidence. British Medical Association, London

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Correspondence to J. Rick Turner Ph.d .

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Turner, J.R. (2011). Assessing Efficacy Data. In: Key Statistical Concepts in Clinical Trials for Pharma. SpringerBriefs in Pharmaceutical Science & Drug Development. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1662-3_3

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