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How to develop a more accurate risk prediction model when there are few events

Pavlou, M; Ambler, G; Seaman, SR; Guttmann, O; Elliott, P; King, M; Omar, RZ; (2015) How to develop a more accurate risk prediction model when there are few events. BMJ , 351 , Article h3868. 10.1136/bmj.h3868. Green open access

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Type: Article
Title: How to develop a more accurate risk prediction model when there are few events
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1136/bmj.h3868
Publisher version: http://dx.doi.org/10.1136/bmj.h3868
Language: English
Additional information: This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/.
Keywords: Models, Statistical, Regression Analysis, Reproducibility of Results, Risk Assessment, Sample Size
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute of Cardiovascular Science > Clinical Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/1472480
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