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Clinical Prediction Models
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TLDR
This paper presents a case study on survival analysis: Prediction of secondary cardiovascular events and lessons from case studies on overfitting and optimism in prediction models.Abstract:
Introduction.- Applications of prediction models.- Study design for prediction models.- Statistical models for prediction.- Overfitting and optimism in prediction models.- Choosing between alternative statistical models.- Dealing with missing values.- Case study on dealing with missing values.- Coding of categorical and continuous predictors.- Restrictions on candidate predictors.- Selection of main effects.- Assumptions in regression models: Additivity and linearity.- Modern estimation methods.- Estimation with external methods.- Evaluation of performance.- Clinical usefulness.- Validation of prediction models.- Presentation formats.- Patterns of external validity.- Updating for a new setting.- Updating for a multiple settings.- Prediction of a binary outcome: 30-day mortality after acute myocardial infarction.- Case study on survival analysis: Prediction of secondary cardiovascular events.- Lessons from case studies.read more
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Journal ArticleDOI
Placental Growth Factor as a Prognostic Tool in Women With Hypertensive Disorders of Pregnancy: A Systematic Review.
U. Vivian Ukah,Jennifer A. Hutcheon,Beth A. Payne,Matthew Haslam,Manu Vatish,J. Mark Ansermino,Helen Brown,Laura A. Magee,Peter von Dadelszen +8 more
TL;DR: The Placental Growth Factor (placental growth factor) has been widely associated with the diagnosis of the hypertensive disorders of pregnancy (HDPs); however, it is unclear how useful it is for the prognosis of the condition.
Journal ArticleDOI
Novel United Kingdom prognostic model for 30-day mortality following transcatheter aortic valve implantation
Glen P. Martin,Matthew Sperrin,Peter Ludman,Mark A. de Belder,Simon Redwood,Jonathan N. Townend,Mark Gunning,Neil Moat,Adrian P. Banning,Iain Buchan,Mamas A. Mamas +10 more
TL;DR: This model shows potential for benchmarking, but even the inclusion of frailty did not overcome the need for more wide-ranging data and other outcomes might usefully be explored.
Journal ArticleDOI
Risk factors of recurrent anal sphincter ruptures: a population-based cohort study
TL;DR: Please cite this paper as: Jangö H, Langhoff‐Roos J, Rosthøj S, Sakse A. risk factors of recurrent anal sphincter ruptures: a population‐based cohort study.
Journal ArticleDOI
CT angiography and CT perfusion improve prediction of infarct volume in patients with anterior circulation stroke
Tom van Seeters,Geert Jan Biessels,L. Jaap Kappelle,Irene C. van der Schaaf,Jan Willem Dankbaar,Alexander D. Horsch,Joris M. Niesten,Merel J A Luitse,Charles B. L. M. Majoie,Jan Albert Vos,Wouter J. Schonewille,Marianne A. A. van Walderveen,Marieke J.H. Wermer,L.E. Duijm,Koos Keizer,Joseph C. J. Bot,Marieke C. Visser,Aad van der Lugt,Diederik W.J. Dippel,F. Oskar Kesselring,Jeannette Hofmeijer,Geert J. Lycklama à Nijeholt,Jelis Boiten,Willem Jan van Rooij,Paul L.M. de Kort,Yvo B W E M Roos,Frederick J. A. Meijer,C. Constantijn Pleiter,Willem P.Th.M. Mali,Yolanda van der Graaf,Birgitta K. Velthuis +30 more
TL;DR: In the acute stage, CTA and CTP have additional value over patient characteristics and non-contrast CT for predictinginfarct presence and infarct volume on follow-up imaging and could be applied for patient selection in future trials on ischemic stroke treatment.
ORIGINAL ARTICLES Minimal important change (MIC) based on a predictive modeling approach was more precise than MIC based on ROC analysis
TL;DR: A new method to estimate a "minimal important change" of health-related quality of life (HRQOL) scales, based on predictive modeling, yields the same value as the ROC-based MIC but with significantly greater precision.