The Biplot as a diagnostic tool of local dependence in latent class models. A medical application

Statistics in Medicine

Volumn 27, Issue 11, 2008, Pages 1855-1869

  Sepulveda R ^a   Vicente Villardon J L ^a   Galindo, M P ^a  

^a UNIVERSITY OF SALAMANCA   (Spain)

Author keywords

Biplot; Generalized linear model; Gold standard; Latent class models; Local dependence

Indexed keywords

ANTIGEN; GAG PROTEIN; GLYCOPROTEIN GP 120;

ALGORITHM; ANALYTIC METHOD; ARTICLE; BAYES THEOREM; BIPLOT METHOD; BLOOD SAMPLING; CONTROLLED STUDY; CORRELATION ANALYSIS; DEPENDENT VARIABLE; DIAGNOSTIC TEST; ENZYME LINKED IMMUNOSORBENT ASSAY; FREQUENCY ANALYSIS; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INDEPENDENT VARIABLE; LATENT CLASS MODEL; LINEAR SYSTEM; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; NORMAL DISTRIBUTION; PROBABILITY; RADIOIMMUNOASSAY; SCREENING TEST; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

DATA INTERPRETATION, STATISTICAL; DIAGNOSTIC TESTS, ROUTINE; FORECASTING; MODELS, STATISTICAL;

EID: 42949158238     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3194     Document Type: Article

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