Using ROC Curves to Choose Minimally Important Change Thresholds when Sensitivity and Specificity Are Valued Equally: The Forgotten Lesson of Pythagoras. Theoretical Considerations and an Example Application of Change in Health Status

BACKGROUND: Receiver Operator Characteristic (ROC) curves are being used to identify Minimally Important Change (MIC) thresholds on scales that measure a change in health status. In quasi-continuous patient reported outcome measures, such as those that measure changes in chronic diseases with variab...

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Detalles Bibliográficos
Autores principales: Froud, Robert, Abel, Gary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256421/
https://www.ncbi.nlm.nih.gov/pubmed/25474472
http://dx.doi.org/10.1371/journal.pone.0114468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256421/
https://www.ncbi.nlm.nih.gov/pubmed/25474472
http://dx.doi.org/10.1371/journal.pone.0114468

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