Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers.
about
Comparative effectiveness research in oncologyStandardized data collection to build prediction models in oncology: a prototype for rectal cancer.Predicting Individual Renal Allograft Outcomes Using Risk Models with 1-Year Surveillance Biopsy and Alloantibody Data.Impact of DNA repair gene polymorphisms on the risk of biochemical recurrence after radiotherapy and overall survival in prostate cancer.A regret theory approach to decision curve analysis: a novel method for eliciting decision makers' preferences and decision-making.Utilization of biopsy-based genomic classifier to predict distant metastasis after definitive radiation and short-course ADT for intermediate and high-risk prostate cancer.Prediction of liver disease in patients whose liver function tests have been checked in primary care: model development and validation using population-based observational cohorts.Evaluation of markers and risk prediction models: overview of relationships between NRI and decision-analytic measures.Traditional statistical methods for evaluating prediction models are uninformative as to clinical value: towards a decision analytic framework.One statistical test is sufficient for assessing new predictive markersImprovements in ability to detect undiagnosed diabetes by using information on family history among adults in the United StatesAn assessment of the relationship between clinical utility and predictive ability measures and the impact of mean risk in the population.Critical review of prostate cancer predictive toolsHow to interpret a small increase in AUC with an additional risk prediction marker: decision analysis comes through.The potential for using risk models in future lung cancer screening trials.Exploration of analysis methods for diagnostic imaging tests: problems with ROC AUC and confidence scores in CT colonography.Added predictive value of omics data: specific issues related to validation illustrated by two case studies.Combined value of validated clinical and genomic risk stratification tools for predicting prostate cancer mortality in a high-risk prostatectomy cohortMetabolic system alterations in pancreatic cancer patient serum: potential for early detection.Evaluation of prediction models for the staging of prostate cancer.A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomyIs Alcohol Use Disorder Identification Test (AUDIT) or its shorter versions more useful to identify risky drinkers in a Chinese population? A diagnostic study.The added value of percentage of free to total prostate-specific antigen, PCA3, and a kallikrein panel to the ERSPC risk calculator for prostate cancer in prescreened men.Prognostic utility of serum CRP levels in combination with CURB-65 in patients with clinically suspected sepsis: a decision curve analysis.Clinical Validation of the 2005 ISUP Gleason Grading System in a Cohort of Intermediate and High Risk Men Undergoing Radical ProstatectomyEvaluating Prognostic Markers Using Relative Utility Curves and Test TradeoffsValidation of a novel prediction model for early mortality in adult trauma patients in three public university hospitals in urban India.Logistic regression model can reduce unnecessary artificial liver support in hepatitis B virus-associated acute-on-chronic liver failure: decision curve analysis.Predicting the 10 year risk of cardiovascular disease in the United Kingdom: independent and external validation of an updated version of QRISK2Prognostic and predictive significance of tumor length in patients with esophageal squamous cell carcinoma undergoing radical resectionUsing the weighted area under the net benefit curve for decision curve analysisStatistical consideration for clinical biomarker research in bladder cancer.Simplified Acute Physiology Score II as Predictor of Mortality in Intensive Care Units: A Decision Curve AnalysisRe-examination of classic risk factors for suicidal behavior in the psychiatric population.A Comparison of a Machine Learning Model with EuroSCORE II in Predicting Mortality after Elective Cardiac Surgery: A Decision Curve Analysis.Development of a nomogram incorporating serum C-reactive protein level to predict overall survival of patients with advanced urothelial carcinoma and its evaluation by decision curve analysis.Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study.A framework for quantifying net benefits of alternative prognostic models.Characterizing Decision-Analysis Performances of Risk Prediction Models Using ADAPT CurvesNet benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests.
P2860
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P2860
Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Extensions to decision curve a ...... models and molecular markers.
@en
type
label
Extensions to decision curve a ...... models and molecular markers.
@en
prefLabel
Extensions to decision curve a ...... models and molecular markers.
@en
P2093
P2860
P356
P1476
Extensions to decision curve a ...... models and molecular markers.
@en
P2093
Angel M Cronin
Elena B Elkin
Mithat Gonen
P2860
P2888
P356
10.1186/1472-6947-8-53
P577
2008-11-26T00:00:00Z
P5875
P6179
1016869151