Factors affecting the performance of brain arteriovenous malformation rupture prediction models
Published 2021 View Full Article
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Title
Factors affecting the performance of brain arteriovenous malformation rupture prediction models
Authors
Keywords
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Journal
BMC Medical Informatics and Decision Making
Volume 21, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-05-03
DOI
10.1186/s12911-021-01511-z
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Note: Only part of the references are listed.- Developing risk models for multicenter data using standard logistic regression produced suboptimal predictions: A simulation study
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- (2018) Raphael Couronné et al. BMC BIOINFORMATICS
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- A Reanalysis of Predictors for the Risk of Hemorrhage in Brain Arteriovenous Malformation
- (2018) Zheng Huang et al. Journal of Stroke & Cerebrovascular Diseases
- A Reanalysis of Predictors for the Risk of Hemorrhage in Brain Arteriovenous Malformation
- (2018) Zheng Huang et al. Journal of Stroke & Cerebrovascular Diseases
- Responses to ARUBA: a systematic review and critical analysis for the design of future arteriovenous malformation trials
- (2017) Elsa Magro et al. JOURNAL OF NEUROSURGERY
- Arteriovenous Malformations of the Brain
- (2017) Robert A. Solomon et al. NEW ENGLAND JOURNAL OF MEDICINE
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- (2017) Antonio Palazón-Bru et al. PLoS One
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- (2015) M.D. Alexander et al. AMERICAN JOURNAL OF NEURORADIOLOGY
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- How to develop a more accurate risk prediction model when there are few events
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