Assessing the performance of prediction models: a framework for traditional and novel measures.
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Web-based genome-wide association study identifies two novel loci and a substantial genetic component for Parkinson's diseaseStrengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration.Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaborationSTRengthening analytical thinking for observational studies: the STRATOS initiativeHow to Establish Clinical Prediction ModelsImproved prediction of complex diseases by common genetic markers: state of the art and further perspectivesStatistical Methods for Establishing Personalized Treatment Rules in OncologyClassical and novel biomarkers for cardiovascular risk prediction in the United StatesPrognostic indices for older adults: a systematic reviewThe use of cost-benefit analysis in road assessments: a methodological inquiryA mathematical model for interpretable clinical decision support with applications in gynecology.Role of ST2 in non-ST-elevation acute coronary syndrome in the MERLIN-TIMI 36 trialHyaluronan and N-ERC/mesothelin as key biomarkers in a specific two-step model to predict pleural malignant mesotheliomaDevelopment of an adverse drug reaction risk assessment score among hospitalized patients with chronic kidney diseaseDevelopment and Validation of a New Prognostic System for Patients with Hepatocellular CarcinomaTowards improving diagnosis of memory loss in general practice: TIMeLi diagnostic test accuracy study protocolWhite Matter Lesion Progression: Genome-Wide Search for Genetic InfluencesClinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model DatabaseLipid-related markers and cardiovascular disease prediction.Prognosis Research Strategy (PROGRESS) 3: prognostic model researchThe relationship between serum fibrosis markers and restrictive ventricular filling in patients with heart failure with reduced ejection fraction: A technetium-99m radionuclide ventriculography studySystematic review of risk prediction models for diabetes after bariatric surgery.Normal tissue complication probability modeling for cochlea constraints to avoid causing tinnitus after head-and-neck intensity-modulated radiation therapy.Polytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models.Prediction of vascular risk after stroke - protocol and pilot data of the Prospective Cohort with Incident Stroke (PROSCIS).External validation of multivariable prediction models: a systematic review of methodological conduct and reportingA framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis.Non-invasive score identifies ultrasonography-diagnosed non-alcoholic fatty liver disease and predicts mortality in the USA.Concordance measures in shared frailty models: application to clustered data in cancer prognosis.Considerations for the prediction of survival time in pancreatic cancer based on registry data.Derivation and assessment of risk prediction models using case-cohort data.Integrating and mining diverse data in human immunological studies.Investigating the prediction ability of survival models based on both clinical and omics data: two case studies.Rapid learning in practice: a lung cancer survival decision support system in routine patient care dataCritical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.Explained variation for recurrent event data.Mortality Risk Prediction: Can Comorbidity Indices Be Improved With Psychosocial Data?Validation of the multivariable In-hospital Mortality for PulmonAry embolism using Claims daTa (IMPACT) prediction rule within an all-payer inpatient administrative claims database.Review and evaluation of penalised regression methods for risk prediction in low-dimensional data with few events.A novel nonparametric measure of explained variation for survival data with an easy graphical interpretation.
P2860
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P2860
Assessing the performance of prediction models: a framework for traditional and novel measures.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
Assessing the performance of p ...... raditional and novel measures.
@ast
Assessing the performance of p ...... raditional and novel measures.
@en
type
label
Assessing the performance of p ...... raditional and novel measures.
@ast
Assessing the performance of p ...... raditional and novel measures.
@en
altLabel
Assessing the Performance of Prediction Models
@en
prefLabel
Assessing the performance of p ...... raditional and novel measures.
@ast
Assessing the performance of p ...... raditional and novel measures.
@en
P2093
P2860
P50
P1433
P1476
Assessing the performance of p ...... raditional and novel measures.
@en
P2093
Michael W Kattan
Mithat Gonen
Nancy Obuchowski
Nancy R Cook
Thomas Gerds
P2860
P304
P356
10.1097/EDE.0B013E3181C30FB2
P577
2010-01-01T00:00:00Z