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This Brief discusses key statistical concepts that facilitate the inferential analysis of data collected from a group of individuals participating in a pharmaceutical clinical trial, the estimation of their clinical significance in the general population of individuals likely to be prescribed the drug if approved, and the related decision-making that occurs at both the public health level (by regulatory agencies when deciding whether or not to approve a new drug for marketing) and the individual patient level (by physicians and their patients when deciding whether or not the patient should be prescribed a drug that is on the market). These concepts include drug safety and efficacy, statistical significance, clinical significance, and benefit-risk balance.
Autorius: | J. Rick Turner |
Serija: | SpringerBriefs in Pharmaceutical Science & Drug Development |
Leidėjas: | Springer US |
Išleidimo metai: | 2011 |
Knygos puslapių skaičius: | 72 |
ISBN-10: | 1461416612 |
ISBN-13: | 9781461416616 |
Formatas: | 235 x 155 x 5 mm. Knyga minkštu viršeliu |
Kalba: | Anglų |
Parašykite atsiliepimą apie „Key Statistical Concepts in Clinical Trials for Pharma“