TY  - JOUR
AU  - GBD 2019 Dementia Collaborators
AU  - Catala-Lopez, Ferran
PY  - 2021
DO  - 10.1186/s12911-021-01590-y
UR  - http://hdl.handle.net/20.500.12105/14998
AB  - 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...
LA  - eng
PB  - BioMed Central (BMC)
KW  - Dementia
KW  - Prevalence
KW  - Algorithm
KW  - Validity
KW  - Global health
KW  - Dementia
KW  - Retirement
TI  - 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
TY  - journal article
ER  -