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Volumn 64, Issue 2, 2008, Pages 431-439
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Combining multiple biomarker models in logistic regression
a
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Author keywords
Classification; Diagnostic test; Generalized degrees of freedom; Model selection; Receiver operating characteristic curve
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Indexed keywords
DECISION THEORY;
DEGREES OF FREEDOM (MECHANICS);
DIAGNOSIS;
DISEASES;
REGRESSION ANALYSIS;
SAMPLING;
DIAGNOSTIC TESTS;
GENERALIZED DEGREE OF FREEDOM;
LOGISTICS REGRESSIONS;
MEDICAL RESEARCH;
MODEL SELECTION;
MODEL VARIABLES;
MULTIPLE BIOMARKERS;
RECEIVER OPERATING CHARACTERISTIC CURVES;
TRADITIONAL MODELS;
VARIABLES SELECTIONS;
BIOMARKERS;
BIOLOGICAL MARKER;
ALGORITHM;
BIOMARKER;
CANCER;
ENDOCRINE SYSTEM DISORDER;
LOGISTICS;
MODELING;
REGRESSION ANALYSIS;
ALGORITHM;
ARTICLE;
BAYES THEOREM;
CONCEPTUAL FRAMEWORK;
CONTROLLED STUDY;
DECISION THEORY;
HUMAN;
IMMUNOHISTOCHEMISTRY;
LOGISTIC REGRESSION ANALYSIS;
MALE;
PROSTATE CANCER;
RISK ASSESSMENT;
SIMULATION;
STATISTICAL MODEL;
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EID: 43949140529
PISSN: 0006341X
EISSN: 15410420
Source Type: Journal
DOI: 10.1111/j.1541-0420.2007.00904.x Document Type: Article |
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Times cited : (38)
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References (20)
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