Quantifying discrimination of Framingham risk functions with different survival C statistics.
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How to Develop, Validate, and Compare Clinical Prediction Models Involving Radiological Parameters: Study Design and Statistical MethodsStatistical controversies in clinical research: prognostic gene signatures are not (yet) useful in clinical practiceConcordance measures in shared frailty models: application to clustered data in cancer prognosis.A rank-based transcriptional signature for predicting relapse risk of stage II colorectal cancer identified with proper data sources.Review and evaluation of performance measures for survival prediction models in external validation settings.Comparing two correlated C indices with right-censored survival outcome: a one-shot nonparametric approach.A new model to estimate prognosis in patients with hepatocellular carcinoma after Yttrium-90 radioembolization.Predictive value of updating Framingham risk scores with novel risk markers in the U.S. general population.Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model.Heart failure risk prediction in the Multi-Ethnic Study of Atherosclerosis.Tamoxifen therapy benefit predictive signature coupled with prognostic signature of post-operative recurrent risk for early stage ER+ breast cancer.Cardiovascular Disease Risk Assessment: Insights from Framingham.Stata Modules for Calculating Novel Predictive Performance Indices for Logistic Models.Predicting Heart Failure With Preserved and Reduced Ejection Fraction: The International Collaboration on Heart Failure SubtypesPrediction of coronary artery disease risk based on multiple longitudinal biomarkers.Pre-transplant prognostic factors of long-term survival after allogeneic peripheral blood stem cell transplantation with matched related/unrelated donors.Statistical models for respiratory disease diagnosis and prognosis.Association Between High-Sensitivity Cardiac Troponin I and Cardiac Events in Elderly WomenPredictors of short-term mortality, cognitive and physical decline in older adults in northwest Russia: a population-based prospective cohort study.Critical limitations of prognostic signatures based on risk scores summarized from gene expression levels: a case study for resected stage I non-small-cell lung cancer.Predictive accuracy of novel risk factors and markers: A simulation study of the sensitivity of different performance measures for the Cox proportional hazards regression model.Predictive accuracy of risk factors and markers: a simulation study of the effect of novel markers on different performance measures for logistic regression models.Discrimination slope and integrated discrimination improvement - properties, relationships and impact of calibration.
P2860
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P2860
Quantifying discrimination of Framingham risk functions with different survival C statistics.
description
2012 nî lūn-bûn
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2012年の論文
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2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
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2012年论文
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name
Quantifying discrimination of ...... fferent survival C statistics.
@en
type
label
Quantifying discrimination of ...... fferent survival C statistics.
@en
prefLabel
Quantifying discrimination of ...... fferent survival C statistics.
@en
P2093
P2860
P356
P1476
Quantifying discrimination of ...... fferent survival C statistics.
@en
P2093
Linye Song
Michael J Pencina
Ralph B D'Agostino
P2860
P304
P356
10.1002/SIM.4508
P407
P577
2012-02-17T00:00:00Z