Document Detail

Modelling non-ignorable missing-data mechanisms with item response theory models.
MedLine Citation:
PMID:  15969835     Owner:  NLM     Status:  MEDLINE    
A model-based procedure for assessing the extent to which missing data can be ignored and handling non-ignorable missing data is presented. The procedure is based on item response theory modelling. As an example, the approach is worked out in detail in conjunction with item response data modelled using the partial credit and generalized partial credit models. Simulation studies are carried out to assess the extent to which the bias caused by ignoring the missing-data mechanism can be reduced. Finally, the feasibility of the procedure is demonstrated using data from a study to calibrate a medical disability scale.
Rebecca Holman; Cees A W Glas
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  The British journal of mathematical and statistical psychology     Volume:  58     ISSN:  0007-1102     ISO Abbreviation:  Br J Math Stat Psychol     Publication Date:  2005 May 
Date Detail:
Created Date:  2005-06-22     Completed Date:  2006-08-02     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0004047     Medline TA:  Br J Math Stat Psychol     Country:  England    
Other Details:
Languages:  eng     Pagination:  1-17     Citation Subset:  IM    
Department of Clinical Epidemiology and Biostatistics, Amsterdam Medical Center, The Netherlands.
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MeSH Terms
Activities of Daily Living / classification
Bias (Epidemiology)*
Data Collection / statistics & numerical data
Disability Evaluation
Mathematical Computing
Models, Statistical*
Psychometrics / statistics & numerical data*

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