Multiple Imputation to Deal with Missing Clinical Data in Rheumatologic Surveys: An Application in the WHO-ILAR COPCORD Study in Iran

Multiple Imputation to Deal with Missing Clinical Data in Rheumatologic Surveys: An Application in the WHO-ILAR COPCORD Study in Iran

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Background: The aim of the article is demonstrating an application of multiple imputation (MI) for handling missing clinical data in the setting of rheumatologic surveys using data derived from 10291 people participating in the first phase of the Community Oriented Program for Control of Rheumatic D...

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Main Authors: K Holakouie Naieni (Author), A Tehrani Banihashemi (Author), A Jamshidi (Author), K Mohammad (Author), F Davatchi (Author), A Rahimi Foroushani (Author), M Mirmohammadkhani (Author)
Format: Book
Published: Tehran University of Medical Sciences, 2012-01-01T00:00:00Z.
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