Improving risk prediction model quality in the critically ill: data linkage study

Improving risk prediction model quality in the critically ill: data linkage study

Background: A previous National Institute for Health and Care Research study [Harrison DA, Ferrando-Vivas P, Shahin J, Rowan KM. Ensuring comparisons of health-care providers are fair: development and validation of risk prediction models for critically ill patients. Health Serv Deliv Res 2015;3(41)]...

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Bibliographic Details
Main Authors:	Paloma Ferrando-Vivas, Manu Shankar-Hari, Karen Thomas, James C Doidge, Fergus J Caskey, Lui Forni, Steve Harris, Marlies Ostermann, Ivan Gornik, Naomi Holman, Nazir Lone, Bob Young, David Jenkins, Stephen Webb, Jerry P Nolan, Jasmeet Soar, Kathryn M Rowan, David A Harrison
Format:	Article
Language:	English
Published:	NIHR Journals Library 2022-12-01
Series:	Health and Social Care Delivery Research
Subjects:	cardiopulmonary resuscitation critical care heart arrest hospital mortality intensive care models, statistical outcome assessment (health care) prognosis risk adjustment routine data
Online Access:	https://doi.org/10.3310/EQAB4594

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