Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapy

Longitudinal studies aimed at evaluating patients clinical response to specific therapeutic treatments are frequently summarized in incomplete datasets due to missing data. Multivariate statistical procedures use only complete cases, deleting any case with missing data. MI and MIANALYZE procedures o...

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Detalles Bibliográficos
Autores principales:	SCHIATTINO,IRENE, VILLEGAS,RODRIGO, CRUZAT,ANDREA, CUENCA,JIMENA, SALAZAR,LORENA, ARAVENA,OCTAVIO, PESCE,BÁRBARA, CATALÁN,DIEGO, LLANOS,CAROLINA, CUCHACOVICH,MIGUEL, AGUILLÓN,JUAN C
Lenguaje:	English
Publicado:	Sociedad de Biología de Chile 2005
Materias:	multiple imputation mixed model TNF polymorphism
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602005000100002
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Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapy

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