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
Abstract Background Data 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 nationally representative surveys allow f...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2021-08-01
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| coleção: | BMC Medical Informatics and Decision Making |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s12911-021-01590-y |
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