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

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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Bibliographic Details
Main Authors: IRENE SCHIATTINO, RODRIGO VILLEGAS, ANDREA CRUZAT, JIMENA CUENCA, LORENA SALAZAR, OCTAVIO ARAVENA, BÁRBARA PESCE, DIEGO CATALÁN, CAROLINA LLANOS, MIGUEL CUCHACOVICH, JUAN C AGUILLÓN
Format: Article
Language:English
Published: BMC 2005-01-01
Series:Biological Research
Subjects:
multiple imputation
mixed model
TNF polymorphism
Online Access:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602005000100002

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http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602005000100002

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