| Representations of efficient score for coarse data problems based on Neumann series expansion. | |
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MedLine Citation:
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PMID: 21814294 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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We derive new representations of the efficient score for coarse data problems based on Neumann series expansion. The representations can be applied to both ignorable and nonignorable coarse data. An approximation to the new representation may be used for computing locally efficient scores in such problems. We show that many of the successive approximation approaches to the computation of the locally efficient score proposed in the literature for coarse data problems can be derived as special cases of the representations. In addition, the representations lead to new algorithms for computing the locally efficient scores for the coarse data problems. |
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Authors:
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Hua Yun Chen |
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Publication Detail:
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Type: JOURNAL ARTICLE |
Journal Detail:
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Title: Annals of the Institute of Statistical Mathematics Volume: 63 ISSN: 1572-9052 ISO Abbreviation: - Publication Date: 2011 Jun |
Date Detail:
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Created Date: 2011-8-4 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101509177 Medline TA: Ann Inst Stat Math Country: - |
Other Details:
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Languages: ENG Pagination: 497-509 Citation Subset: - |
Affiliation:
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Division of Epidemiology & Biostatistics, School of Public Health, University of Illinois at Chicago, 1603 West Taylor Street, Chicago, IL 60612. |
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Descriptor/Qualifier:
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| Grant Support | |
ID/Acronym/Agency:
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R01 CA106355-01A2//NCI NIH HHS; R01 CA106355-02//NCI NIH HHS; R01 CA106355-03//NCI NIH HHS |
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