Detection of determinant genes and diagnostic via Item Response Theory

Genetics and Molecular Biology

Volumn 27, Issue 4, 2004, Pages 679-685

  Tavares, Héliton Ribeiro ^a   de Andrade, Dalton Francisco ^b   de Bragança Pereira, Carlos Alberto ^c  

^a FEDERAL UNIVERSITY OF PARÁ   (Brazil)

^b FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

^c UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Item Response Theory (IRT); Logistic model; Predisposition; Propensity

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; CALCULATION; GENE IDENTIFICATION; GENETIC ANALYSIS; GENETIC PREDISPOSITION; GENETIC SUSCEPTIBILITY; HUMAN; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; POPULATION DISTRIBUTION; PROBABILITY; SCORING SYSTEM; STATISTICAL MODEL;

EID: 11344280118     PISSN: 14154757     EISSN: None     Source Type: Journal    
DOI: 10.1590/S1415-47572004000400033     Document Type: Article

References (10)

1. Andrade DF and Tavares HR (2004) Item response theory for longitudinal data: Population parameter estimation. To appear in Journal of Multivariate Analysis.
2. Andrade DF, Tavares HR and Valle RC (2000) Item Response Theory: Concepts and applications. Associação Brasileira de Estatística, São Paulo (in Portuguese).
3. Bock RD and Zimowski MF (1997) Multiple Group IRT. In: van der Linder WJ and Hambleton RK (eds) Handbook of Modern Item Response Theory. Spring-Verlag, New York.
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6. Hambleton RK, Swaminathan H and Rogers HJ (1991) Fundamentals of Item Response Theory. Sage Publications, Newburg Park.
7. Lord FM (1980) Applications of Item Response Theory to Practical Testing Problems. Lawrence Erlbaum Associates, Inc., Hillsdale.
8. Paas LJ (1998) Mokken scaling characteristic sets and acquisition patterns of durable and financial products. Journal of Economic Psychology 19:353-376.
9. Tavares HR and Andrade DF (2004) Item response theory for longitudinal data: Item and population ability parameters estimation (to appear in Test).
10. Sanathanan L and Blumenthal N (1978) The logistic model and estimation of latent structure. Journal of the American Statistical Association 73:794-798.