Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study.

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Title: Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study.
Authors: GBD 2019 Dementia Collaborators (AUTHOR), Nichols, Emma1 (AUTHOR), Abd-Allah, Foad (AUTHOR), Abdoli, Amir (AUTHOR), Abualhasan, Ahmed (AUTHOR), Abu-Gharbieh, Eman (AUTHOR), Afshin, Ashkan (AUTHOR), Akinyemi, Rufus Olusola (AUTHOR), Alanezi, Fahad Mashhour (AUTHOR), Alipour, Vahid (AUTHOR), Almasi-Hashiani, Amir (AUTHOR), Arabloo, Jalal (AUTHOR), Ashraf-Ganjouei, Amir (AUTHOR), Ayano, Getinet (AUTHOR), Ayuso-Mateos, Jose L. (AUTHOR), Baig, Atif Amin (AUTHOR), Banach, Maciej (AUTHOR), Barboza, Miguel A. (AUTHOR), Barker-Collo, Suzanne Lyn (AUTHOR), Baune, Bernhard T. (AUTHOR)
Source: BMC Medical Informatics & Decision Making. 8/11/2021, Vol. 21 Issue 1, p1-10. 10p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22BMC+Medical+Informatics+%26+Decision+Making%22">BMC Medical Informatics & Decision Making</searchLink>. 8/11/2021, Vol. 21 Issue 1, p1-10. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=151860298
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