Statistical evidence and the reliability of medical research

David Teira y Mattia Andreoletti, Statistical evidence and the reliability of medical research. M. Solomon, H. Kincaid y J. Simon, 2016 (bookPart)

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Título Statistical evidence and the reliability of medical research
Autor(es) David Teira
Mattia Andreoletti
Materia(s) Biomedicina
Abstract Statistical evidence is pervasive in medicine. In this chapter we will focus on the reliability of randomized clinical trials (RCTs) conducted to test the safety and efficacy of medical treatments. RCTs are scientific experiments and, as such, we expect them to be replicable: if we repeat the same experiment time and again, we should obtain the same outcome (Norton 2015). The statistical design of the test should guarantee that the observed outcome is not a random event, but rather a real effect of the treatments administered. However, for more than a decade now we have been discussing a replicability crisis across different experimental disciplines including medicine: the outcomes of trials published in very prestigious journals often disappear when the experiment is repeated –see for instance Lehrer 2010, Begley and Ellis 2012, Horton 2015).
Palabras clave Statistical evidence
false findings
Editor(es) M. Solomon
H. Kincaid
J. Simon
Fecha 2016-01-01
Identificador bibliuned:501091
Número de páginas 218-227
Versión de la publicación acceptedVersion
Tipo de recurso bookPart
Tipo de acceso Abierto
Notas adicionales “Statistical evidence and the reliability of medical research”. In H. Kincaid, J. Simon & M. Solomon, The Routledge Handbook of Philosophy of Medicine, London, Routledge, 2017, 218-227 (with M. Andreoletti)

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Creado: Sun, 03 Apr 2016, 09:04:06 CET