Reporting methods in studies developing prognostic models in cancer: a review.
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Reporting and methods in clinical prediction research: a systematic reviewDeveloping risk prediction models for type 2 diabetes: a systematic review of methodology and reportingPrediction models for the risk of postoperative nausea and vomitingSTRengthening analytical thinking for observational studies: the STRATOS initiativeDesign Characteristics Influence Performance of Clinical Prediction Rules in Validation: A Meta-Epidemiological StudyDiagnostic and prognostic prediction modelsClinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model DatabaseImproving the transparency of prognosis research: the role of reporting, data sharing, registration, and protocolsPrognosis Research Strategy (PROGRESS) 3: prognostic model researchDeveloping Risk Prediction Models for Postoperative Pancreatic Fistula: a Systematic Review of Methodology and Reporting QualityExternal validation of multivariable prediction models: a systematic review of methodological conduct and reportingOverview of data-synthesis in systematic reviews of studies on outcome prediction models.Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.Discrimination-based sample size calculations for multivariable prognostic models for time-to-event data.Reporting performance of prognostic models in cancer: a review.Formal and informal prediction of recurrent stroke and myocardial infarction after stroke: a systematic review and evaluation of clinical prediction models in a new cohortAn independent and external validation of QRISK2 cardiovascular disease risk score: a prospective open cohort studyThe General Weakness Syndrome Therapy (GymNAST) study: protocol for a cohort study on recovery on walking functionExternal validation of a Cox prognostic model: principles and methodsBlood Component Therapy and Coagulopathy in Trauma: A Systematic Review of the Literature from the Trauma Update Group.Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement.Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. The TRIPOD Group.Preoperative and early postoperative quality of life after major surgery - a prospective observational study.Formation of translational risk score based on correlation coefficients as an alternative to Cox regression models for predicting outcome in patients with NSCLCPrognostic models in acute pulmonary embolism: a systematic review and meta-analysisRisk factors for invasive fungal disease in critically ill adult patients: a systematic review.Which hospice patients with cancer are able to die in the setting of their choice? Results of a retrospective cohort study.The art versus science of predicting prognosis: can a prognostic index predict short-term mortality better than experienced nurses do?Refining Prognosis in Lung Cancer: A Report on the Quality and Relevance of Clinical Prognostic Tools.Frequency, impact, and predictors of persistent pain after root canal treatment: a national dental PBRN study.A secure distributed logistic regression protocol for the detection of rare adverse drug eventsAssessment of the extent of unpublished studies in prognostic factor research: a systematic review of p53 immunohistochemistry in bladder cancer as an exampleQuantifying the impact of different approaches for handling continuous predictors on the performance of a prognostic model.Characteristics and Validation Techniques for PCA-Based Gene-Expression Signatures.Prognostic models for predicting mortality in elderly ICU patients: a systematic review.A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance.A systematic review of case-mix adjustment models for stroke.Pilot prognostic model of extremely poor survival among high-risk hepatocellular carcinoma patients.Fracture risk assessment: state of the art, methodologically unsound, or poorly reported?Risk prediction tools in surgical oncology.
P2860
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P2860
Reporting methods in studies developing prognostic models in cancer: a review.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մարտին հրատարակված գիտական հոդված
@hy
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
name
Reporting methods in studies developing prognostic models in cancer: a review.
@ast
Reporting methods in studies developing prognostic models in cancer: a review.
@en
type
label
Reporting methods in studies developing prognostic models in cancer: a review.
@ast
Reporting methods in studies developing prognostic models in cancer: a review.
@en
prefLabel
Reporting methods in studies developing prognostic models in cancer: a review.
@ast
Reporting methods in studies developing prognostic models in cancer: a review.
@en
P2093
P2860
P356
P1433
P1476
Reporting methods in studies developing prognostic models in cancer: a review.
@en
P2093
Rachel Waters
Susan Dutton
Susan Mallett
P2860
P2888
P356
10.1186/1741-7015-8-20
P407
P5008
P577
2010-03-30T00:00:00Z
P5875
P6179
1029966578