Decision curve analysis: a novel method for evaluating prediction models
about
Comparative effectiveness research in oncologyNomograms in oncology: more than meets the eyePrognostic markers in cancer: the evolution of evidence from single studies to meta-analysis, and beyondPre- and post-operative nomograms to predict recurrence-free probability in korean men with clinically localized prostate cancerAntenatal blood pressure for prediction of pre-eclampsia, preterm birth, and small for gestational age babies: development and validation in two general population cohortsClinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model DatabaseSoft tissue sarcoma nomograms and their incorporation into practice.External validation of multivariable prediction models: a systematic review of methodological conduct and reportingLarge-scale international validation of the ADO index in subjects with COPD: an individual subject data analysis of 10 cohortsComparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer.Decision support from local data: creating adaptive order menus from past clinician behavior.Clinical performance of the Prostate Health Index (PHI) for the prediction of prostate cancer in obese men: data from the PROMEtheuS project, a multicentre European prospective study.Comparison of prognostic nomograms based on different nodal staging systems in patients with resected gastric cancer.Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.Usefulness of data from magnetic resonance imaging to improve prediction of dementia: population based cohort studyIndividual patient data meta-analysis of antiplatelet regimens after noncardioembolic stroke or TIA: rationale and design.Lessons of War: Turning Data Into DecisionsThe Net Reclassification Index (NRI): a Misleading Measure of Prediction Improvement Even with Independent Test Data SetsStandardized data collection to build prediction models in oncology: a prototype for rectal cancer.External Evaluation of a Novel Prostate Cancer Risk Calculator (ProstateCheck) Based on Data from the Swiss Arm of the ERSPC.A Nomogram Derived by Combination of Demographic and Biomarker Data Improves the Noninvasive Evaluation of Patients at Risk for Bladder Cancer.A panel of kallikrein markers can reduce unnecessary biopsy for prostate cancer: data from the European Randomized Study of Prostate Cancer Screening in Göteborg, Sweden.Method for evaluating prediction models that apply the results of randomized trials to individual patientsImpact of recent screening on predicting the outcome of prostate cancer biopsy in men with elevated prostate-specific antigen: data from the European Randomized Study of Prostate Cancer Screening in Gothenburg, Sweden.Reporting performance of prognostic models in cancer: a review.A four-kallikrein panel predicts prostate cancer in men with recent screening: data from the European Randomized Study of Screening for Prostate Cancer, Rotterdam.Using relative utility curves to evaluate risk prediction.Development and comparison of a Chinese nomogram adding multi-parametric MRI information for predicting extracapsular extension of prostate cancerExternal validation of nomograms for predicting cancer-specific mortality in penile cancer patients treated with definitive surgery.Development of Decision Support Formulas for the Prediction of Bladder Outlet Obstruction and Prostatic Surgery in Patients With Lower Urinary Tract Symptom/Benign Prostatic Hyperplasia: Part I, Development of the Formula and its Internal ValidationA regret theory approach to decision curve analysis: a novel method for eliciting decision makers' preferences and decision-making.External validation of the ProCaRS nomograms and comparison of existing risk-stratification tools for localized prostate cancerThe potential of genes and other markers to inform about risk.Risk prediction scores for recurrence and progression of non-muscle invasive bladder cancer: an international validation in primary tumours.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.A panel of kallikrein markers can predict outcome of prostate biopsy following clinical work-up: an independent validation study from the European Randomized Study of Prostate Cancer screening, FranceMultifactorial, site-specific recurrence models after radical cystectomy for urothelial carcinoma: external validation in a cohort of Korean patients.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.Development and validation of risk prediction equations to estimate survival in patients with colorectal cancer: cohort study
P2860
Q24282586-7A505736-5E9D-4631-8377-C73F35A0A030Q26830260-3B34A4EE-8C30-4877-B8E0-A058178FAC8CQ28388487-84936E83-FFB6-4259-8E88-36E6780AAD6EQ28539777-2F5E87C9-B6D6-4300-BA74-CBAA137F4623Q28607419-ECFBE635-262D-4F8F-8296-E44445B5D9B5Q28646602-2FF04B3B-DD1B-418F-BAEA-0072046318B5Q30234500-AF466901-0C37-4B4D-ADEA-01EFAB149CDDQ30577024-DF55B5C9-EAFA-42B6-A9EC-D1E523DDCC0AQ30581769-0383AC91-A3D5-4A6D-927F-FC19C7E51B58Q30664726-1F9603C7-5450-4D1F-A320-D42C708A7EB6Q30719482-0A458382-C85A-494D-A4C9-32CAF979C5C0Q30843223-54B39B6B-67B3-4A18-80F4-73DCC7020DB4Q30851464-B4A8B341-0589-4449-BE57-52A689CAF124Q30860218-76CA6930-DBF8-4974-82DF-0A50A10D37D1Q30976037-039FD07B-5E71-4875-9BE1-E74A5D8946D1Q30987806-9E4E3128-FBDC-4AAF-8AB0-594BE1C8806EQ31010997-2F09853B-B03E-433E-87C2-B8B2E3F2A7C3Q31011669-A6A28770-E473-424D-AC8D-7F5C133302C2Q31032455-048B6E41-3B33-4321-85A9-25FD2300D335Q31096808-4CC13494-350B-4AF1-91B2-A4366323C39AQ31112817-95632C0F-3768-4A61-B825-6E3A65A01713Q31161981-CA03E925-CF7A-400B-B78B-F6B64315C71DQ33286768-AE738E5D-7B14-421F-9FC2-9589350CFF09Q33545711-82DC8C59-2742-46A2-BEA5-82E177580AC9Q33547696-03D84503-8B65-4F0A-9C09-49A155D6C6D1Q33558289-EFD3A854-A4F1-4695-A953-0813E26A0217Q33581594-05EED581-3620-4664-823F-1F9237C7238DQ33591824-F3FC3B5C-3B47-4B75-ABE3-667DF50F4814Q33633273-CD2A3AB5-6101-489F-AF3C-FB8E0352A2BCQ33662499-5D893C82-FD01-4578-9A02-108181B3C99AQ33693923-0DE4C12D-0CF2-4AFE-A50F-85F0E6BB14C9Q33696684-A3467B68-8D74-495B-B570-783C99C39C57Q33718762-5C058CDF-EDF9-454A-961E-815E570A927AQ33721258-7C326C0B-1A0F-4467-B096-AE047AF77194Q33744789-55EECE39-ABA0-4993-A61C-8C4726796A02Q33751970-F4AFCD0B-FD15-4A32-B2D4-2F145D3A7997Q33769119-319FB2FD-CF41-4011-BAE1-0559E1B756C9Q33791377-00FFEB6D-61F2-4759-B0F2-5E00105BFF5EQ33800997-E80B79C5-7598-4FE5-8E92-A2A6B81CC392Q33801777-A55FEE4E-4818-489F-AB69-3B8B0ACF350F
P2860
Decision curve analysis: a novel method for evaluating prediction models
description
2006 nî lūn-bûn
@nan
2006 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Decision curve analysis: a novel method for evaluating prediction models
@ast
Decision curve analysis: a novel method for evaluating prediction models
@en
Decision curve analysis: a novel method for evaluating prediction models
@nl
type
label
Decision curve analysis: a novel method for evaluating prediction models
@ast
Decision curve analysis: a novel method for evaluating prediction models
@en
Decision curve analysis: a novel method for evaluating prediction models
@nl
prefLabel
Decision curve analysis: a novel method for evaluating prediction models
@ast
Decision curve analysis: a novel method for evaluating prediction models
@en
Decision curve analysis: a novel method for evaluating prediction models
@nl
P2860
P356
P1476
Decision curve analysis: a novel method for evaluating prediction models
@en
P2093
Elena B Elkin
P2860
P304
P356
10.1177/0272989X06295361
P577
2006-11-01T00:00:00Z