Logistic regression and CART in the analysis of multimarker studies.
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The pediatric sepsis biomarker risk model.Pediatric Sepsis Biomarker Risk Model-II: Redefining the Pediatric Sepsis Biomarker Risk Model With Septic Shock Phenotype.Stratification of the severity of critically ill patients with classification trees.Xenobiotic and folate pathway gene polymorphisms and risk of childhood acute lymphoblastic leukaemia in Javanese children.Performance of interleukin-27 as a sepsis diagnostic biomarker in critically ill adults.The temporal version of the pediatric sepsis biomarker risk model.Demographic and clinical predictors of mortality from highly pathogenic avian influenza A (H5N1) virus infection: CART analysis of international cases.Genetic Polymorphisms of TGFB1, TGFBR1, SNAI1 and TWIST1 Are Associated with Endometrial Cancer Susceptibility in Chinese Han WomenA multibiomarker-based outcome risk stratification model for adult septic shock*.A Multibiomarker-Based Model for Estimating the Risk of Septic Acute Kidney Injury.Prospective Testing and Redesign of a Temporal Biomarker Based Risk Model for Patients With Septic Shock: Implications for Septic Shock Biology.Interleukin-27 is a novel candidate diagnostic biomarker for bacterial infection in critically ill childrenA Comparison of Logistic Regression, Logic Regression, Classification Tree, and Random Forests to Identify Effective Gene-Gene and Gene-Environmental Interactions.Interleukin 27 as a sepsis diagnostic biomarker in critically ill adults.The role of myeloperoxidase (MPO) for prognostic evaluation in sensitive cardiac troponin I negative chest pain patients in the emergency departmentSaliva protein biomarkers to detect oral squamous cell carcinoma in a high-risk population in Taiwan.Testing the prognostic accuracy of the updated pediatric sepsis biomarker risk model.Correlation of radiographic measurements of structures of the equine foot with lesions detected on magnetic resonance imaging.Improved Risk Stratification in Pediatric Septic Shock Using Both Protein and mRNA Biomarkers. PERSEVERE-XP.Regression Trees Identify Relevant Interactions: Can This Improve the Predictive Performance of Risk Adjustment?Value of Measuring Anti-Carbamylated Protein Antibodies for Classification on Early Arthritis Patients.Heterogeneous models for an early discrimination between sepsis and non-infective SIRS in medical ward patients: a pilot study.The development of a population-level clinical screening tool for self-harm repetition and suicide: the ReACT Self-Harm Rule.The TWIST Algorithm Predicts Time to Walking Independently After Stroke.Liver progenitor cell markers correlate with liver damage and predict short-term mortality in patients with alcoholic hepatitis.Soluble fms-like tyrosine kinase-1 (sFLT-1) predicts post-percutaneous coronary intervention (PCI) myocardial infarction (MI type 4a).Ultrasound detrusor wall thickness measurement in combination with bladder capacity can safely detect detrusor underactivity in adult men.
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Logistic regression and CART in the analysis of multimarker studies.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
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scientific article published on 12 April 2008
@en
vedecký článok
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vetenskaplig artikel
@sv
videnskabelig artikel
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vědecký článek
@cs
name
Logistic regression and CART in the analysis of multimarker studies.
@en
Logistic regression and CART in the analysis of multimarker studies.
@nl
type
label
Logistic regression and CART in the analysis of multimarker studies.
@en
Logistic regression and CART in the analysis of multimarker studies.
@nl
prefLabel
Logistic regression and CART in the analysis of multimarker studies.
@en
Logistic regression and CART in the analysis of multimarker studies.
@nl
P1433
P1476
Logistic regression and CART in the analysis of multimarker studies.
@en
P2093
Martin Möckel
Reinhold Muller
P356
10.1016/J.CCA.2008.04.007
P577
2008-04-12T00:00:00Z