about
Lipid-related markers and cardiovascular disease prediction.Assessing risk prediction models using individual participant data from multiple studiesCovariate-adjusted measures of discrimination for survival dataThe Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases.Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies.Diabetes mellitus, fasting glucose, and risk of cause-specific death.Glycated hemoglobin measurement and prediction of cardiovascular disease.Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies.C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysisLipoprotein(a) concentration and the risk of coronary heart disease, stroke, and nonvascular mortality.Major lipids, apolipoproteins, and risk of vascular disease.Adult height and the risk of cause-specific death and vascular morbidity in 1 million people: individual participant meta-analysisA framework for quantifying net benefits of alternative prognostic models.C-reactive protein, fibrinogen, and cardiovascular disease prediction.C-reactive protein, fibrinogen, and cardiovascular risk.Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies.
P50
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P50
name
Emerging Risk Factors Collaboration
@en
type
label
Emerging Risk Factors Collaboration
@en
prefLabel
Emerging Risk Factors Collaboration
@en