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Interpreting incremental value of markers added to risk prediction models

Interpreting incremental value of markers added to risk prediction models

http://www.wikidata.org/entity/Q36489197

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Quantifying the value of biomarkers for predicting mortality Carotid Stiffness: A Novel Cerebrovascular Disease Risk Factor How to Develop, Validate, and Compare Clinical Prediction Models Involving Radiological Parameters: Study Design and Statistical Methods Precocious cervical ripening as a screening target to predict spontaneous preterm delivery among asymptomatic singleton pregnancies: a systematic review High serum β-lactams specific/total IgE ratio is associated with immediate reactions to β-lactams antibiotics An Original Stepwise Multilevel Logistic Regression Analysis of Discriminatory Accuracy: The Case of Neighbourhoods and Health Entropy of cardiac repolarization predicts ventricular arrhythmias and mortality in patients receiving an implantable cardioverter-defibrillator for primary prevention of sudden death.Complex signals bioinformatics: evaluation of heart rate characteristics monitoring as a novel risk marker for neonatal sepsis Postoperative 30-day mortality in patients undergoing surgery for colorectal cancer: development of a prognostic model using administrative claims data.Use of assisted reproductive technology treatment as reported by mothers in comparison with registry data: the Upstate KIDS Study.Explained variation for recurrent event data.Predictive value of semi-quantitative MRI-based scoring systems for future knee replacement: data from the osteoarthritis initiative.Serum uric acid predicts vascular complications in adults with type 1 diabetes: the coronary artery calcification in type 1 diabetes study Risk stratification in critically ill patients: GDF-15 scores in adult respiratory distress syndrome.Improved risk stratification in prevention by use of a panel of selected circulating microRNAs.Predicting red blood cell transfusion in hospitalized patients: role of hemoglobin level, comorbidities, and illness severity.An assessment of the relationship between clinical utility and predictive ability measures and the impact of mean risk in the population.Key concepts and limitations of statistical methods for evaluating biomarkers of kidney disease.Beyond Self-Reports: Changes in Biomarkers as Predictors of Mortality.Recent BRCAPRO upgrades significantly improve calibration.Applying measures of discriminatory accuracy to revisit traditional risk factors for being small for gestational age in Sweden: a national cross-sectional study.Urine YKL-40 is associated with progressive acute kidney injury or death in hospitalized patients.Is there a role for coronary artery calcium scoring for management of asymptomatic patients at risk for coronary artery disease?: Clinical risk scores are sufficient to define primary prevention treatment strategies among asymptomatic patients.Charting a roadmap for heart failure biomarker studies.B-type natriuretic peptide and C-reactive protein in the prediction of atrial fibrillation risk: the CHARGE-AF Consortium of community-based cohort studies.Comparison of lifestyle-based and traditional cardiovascular disease prediction in a multiethnic cohort of nonsmoking women.Fibroblast growth factor-23, cardiovascular prognosis, and benefit of angiotensin-converting enzyme inhibition in stable ischemic heart disease Inflammatory and metabolic biomarkers and risk of liver and biliary tract cancer.Adipocytokines, hepatic and inflammatory biomarkers and incidence of type 2 diabetes. the CoLaus study.Using self-reported health measures to predict high-need cases among Medicaid-eligible adults.Association of urinary KIM-1, L-FABP, NAG and NGAL with incident end-stage renal disease and mortality in American Indians with type 2 diabetes mellitus NT-proBNP linking low-moderately impaired renal function and cardiovascular mortality in diabetic patients: the population-based Casale Monferrato Study.Plasma triglycerides predict incident albuminuria and progression of coronary artery calcification in adults with type 1 diabetes: the Coronary Artery Calcification in Type 1 Diabetes Study.Evaluation of the Wii Balance Board for walking aids prediction: proof-of-concept study in total knee arthroplasty.Tailoring the implementation of new biomarkers based on their added predictive value in subgroups of individuals NT-proBNP best predictor of cardiovascular events and cardiovascular mortality in secondary prevention in very old age: the Leiden 85-plus Study Multilocus genetic risk scores for venous thromboembolism risk assessment.Alternative performance measures for prediction models.Urinary L-FABP predicts poor outcomes in critically ill patients with early acute kidney injury.Plasma amyloid-β and risk of Alzheimer's disease in the Framingham Heart Study.

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Interpreting incremental value of markers added to risk prediction models

http://www.wikidata.org/entity/Q36489197

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2012 nî lūn-bûn

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2012年の論文

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年學術文章

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2012年學術文章

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2012年學術文章

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name

Interpreting incremental value of markers added to risk prediction models

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Interpreting incremental value of markers added to risk prediction models

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Interpreting incremental value of markers added to risk prediction models

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Interpreting incremental value of markers added to risk prediction models

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American Journal of Epidemiology

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Interpreting incremental value of markers added to risk prediction models

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P2093

Karol M Pencina

http://www.w3.org/2001/XMLSchema#string

Michael J Pencina

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Philip Greenland

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Ralph B D'Agostino

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P2860

Prediction of Coronary Heart Disease Using Risk Factor Categories

Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III)

Stroke risk profile: adjustment for antihypertensive medication. The Framingham Study

Use of multiple biomarkers to improve the prediction of death from cardiovascular causes

General cardiovascular risk profile for use in primary care: the Framingham Heart Study

Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond

Criteria for evaluation of novel markers of cardiovascular risk: a scientific statement from the American Heart Association

Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study

Coronary artery calcium score and risk classification for coronary heart disease prediction.

Decision curve analysis: a novel method for evaluating prediction models

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473-481

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10.1093/AJE/KWS207

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6

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176

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A. Cecile Janssens

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2012-08-08T00:00:00Z

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22875755

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3530349

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