Misuse of DeLong test to compare AUCs for nested models.
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How to Develop, Validate, and Compare Clinical Prediction Models Involving Radiological Parameters: Study Design and Statistical MethodsDeveloping risk prediction models for kidney injury and assessing incremental value for novel biomarkersA unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival dataEVALUATING RISK-PREDICTION MODELS USING DATA FROM ELECTRONIC HEALTH RECORDS.Circulating chromogranin B levels in patients with acute respiratory failure: data from the FINNALI Study.Assessment of Prostate Cancer Aggressiveness by Use of the Combination of Quantitative DWI and Dynamic Contrast-Enhanced MRI.Key concepts and limitations of statistical methods for evaluating biomarkers of kidney disease.An additive selection of markers to improve diagnostic accuracy based on a discriminatory measure.Genetic risk score for prediction of newborn adiposity and large-for-gestational-age birth.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 mellitusInfection-associated platelet dysfunction of canine platelets detected in a flow chamber modelOn the assessment of the added value of new predictive biomarkersComparing two correlated C indices with right-censored survival outcome: a one-shot nonparametric approach.Elevation of circulating TNF receptors 1 and 2 increases the risk of end-stage renal disease in American Indians with type 2 diabetes.Sensitivity and Specificity Improvement in Abdominal Obesity Diagnosis Using Cluster Analysis during Waist Circumference Cut-Off Point SelectionIndoor tanning and the MC1R genotype: risk prediction for basal cell carcinoma risk in young people.Contemporary Considerations for Constructing a Genetic Risk Score: An Empirical Approach.Long-Term Post-CABG Survival: Performance of Clinical Risk Models Versus Actuarial PredictionsStructural Predictors of Loss of Renal Function in American Indians with Type 2 Diabetes.Testing for improvement in prediction model performance.Understanding increments in model performance metrics.Cardiovascular Disease Risk Assessment: Insights from Framingham.Subjective memory impairment: No suitable criteria for case-finding of dementia in primary careEpidemiologic Behavior and Estimation of an Optimal Cut-Off Point for Homeostasis Model Assessment-2 Insulin Resistance: A Report from a Venezuelan PopulationPredicting risk of type 2 diabetes mellitus with genetic risk models on the basis of established genome-wide association markers: a systematic reviewNet risk reclassification p values: valid or misleading?Urinary biomarkers of AKI and mortality 3 years after cardiac surgery.Concordance measure and discriminatory accuracy in transformation cure models.Apolipoprotein B improves risk assessment of future coronary heart disease in the Framingham Heart Study beyond LDL-C and non-HDL-C.Assessing quantile prediction with censored quantile regression models.Advanced Glycation End Products Predict Loss of Renal Function and Correlate With Lesions of Diabetic Kidney Disease in American Indians With Type 2 Diabetes.Joint relative risks for estrogen receptor-positive breast cancer from a clinical model, polygenic risk score, and sex hormones.A Two Biomarker Model Predicts Mortality in the Critically Ill with Sepsis.Differentiation of Clear Cell Renal Cell Carcinoma From Other Renal Cortical Tumors by Use of a Quantitative Multiparametric MRI Approach.Plasma neutrophil gelatinase-associated lipocalin: a marker of acute pyelonephritis in children.Inference for reclassification statistics under nested and non-nested models for biomarker evaluation.Biases introduced by choosing controls to match risk factors of cases in biomarker researchWhat to expect from net reclassification improvement with three categories.Assessing improvement in disease prediction using net reclassification improvement: impact of risk cut-offs and number of risk categories.Using confidence intervals to compare several correlated areas under the receiver operating characteristic curves.
P2860
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P2860
Misuse of DeLong test to compare AUCs for nested models.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
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
@zh
2012年论文
@zh-cn
name
Misuse of DeLong test to compare AUCs for nested models.
@en
type
label
Misuse of DeLong test to compare AUCs for nested models.
@en
prefLabel
Misuse of DeLong test to compare AUCs for nested models.
@en
P2860
P356
P1476
Misuse of DeLong test to compare AUCs for nested models.
@en
P2093
Ralph B D'Agostino
P2860
P304
P356
10.1002/SIM.5328
P407
P577
2012-03-13T00:00:00Z