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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

Autor: Nichols E, Abd-Allah F, Abdoli A, Abualhasan A, Abu-Gharbieh E, Afshin A, Akinyemi R, Alanezi F, Alipour V, Almasi-Hashiani A, Arabloo J, Ashraf-Ganjouei A, Ayano G, Ayuso-Mateos J, Baig A, Banach M, Barboza M, Barker-Collo S, Baune B, Bhagavathula A, Bhattacharyya K, Bijani A, Biswas A, Boloor A, Brayne C, Brenner H, Burkart K, Nagaraja S, Carvalho F, Castro-de-Araujo L, Catala-Lopez F, Cerin E, Cherbuin N, Chu D, Dai X, De Sa A, Djalalinia S, Douiri A, Edvardsson D, El-Jaafary S, Eskandarieh S, Faro A, Farzadfar F, Feigin V, Fereshtehnejad S, Fernandes E, Ferrara P, Filip I, Fischer F, Gaidhane S, Galluzzo L, Gebremeskel G, Ghashghaee A, Gialluisi A, Gnedovskaya E, Golechha M, Gupta R, Hachinski V, Haider M, Haile T, Hamiduzzaman M, Hankey G, Hay S, Heidari G, Heidari-Soureshjani R, Ho H, Househ M, Hwang B, Iacoviello L, Ilesanmi O, Ilic I, Ilic M, Irvani S, Iwagami M, Iyamu I, Jha R, Kalani R, Karch A, Kasa A, Khader Y, Khan E, Khatib M, Kim Y, Kisa S, Kisa A, Kivimaki M, Koyanagi A, Kumar M, Landires I, Lasrado S, Li B, Lim S, Liu X, Kunjathur S, Majeed A, Malik P, Mehndiratta M, Menezes R, Mohammad Y, Mohammed S, Mokdad A, Moni M, Nagel G, Naveed M, Nayak V, Nguyen C, Nguyen H, Nunez-Samudio V, Olagunju A, Ostroff S, Otstavnov N, Owolabi M, Kan F, Patel U, Phillips M, Piradov M, Pond C, Pottoo F, Prada S, Radfar A, Rahim F, Rana J, Rashedi V, Rawaf S, Rawaf D, Reinig N, Renzaho A, Rezaei N, Rezapour A, Romoli M, Roshandel G, Sachdev P, Sahebkar A, Sahraian M, Samaei M, Saylan M, Sha F, Shaikh M, Shibuya K, Shigematsu M, Shin J, Shiri R, Silva D, Singh J, Singhal D, Skryabin V, Skryabina A, Soheili A, Sotoudeh H, Spurlock E, Szoeke C, Tabares-Seisdedos R, Taddele B, Tovani-Palone M, Tsegaye G, Vacante M, Venketasubramanian N, Vidale S, Vlassov V, Vu G, Wang Y, Weiss J, Weldemariam A, Westerman R, Wimo A, Winkler A, Wu C, Yadollahpour A, Yesiltepe M, Yonemoto N, Yu C, Zastrozhin M, Zastrozhina A, Zhang Z, Murray C, Vos T

Publikováno v: BMC Medical Informatics and Decision Making
r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA
instname
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-10 (2021)
Repisalud
Instituto de Salud Carlos III (ISCIII)

BackgroundData sparsity is a major limitation to estimating national and global dementia burden. Surveys with full diagnostic evaluations of dementia prevalence are prohibitively resource-intensive in many settings. However, validation samples from n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13d9cf3dfba57630e81ccc036c93088c
https://www.fundanet.incliva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=16267

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