Using imputation to provide harmonized longitudinal measures of cognition across AIBL and ADNI

To improve understanding of Alzheimer’s disease, large observational studies are needed to increase power for more nuanced analyses. Combining data across existing observational studies represents one solution. However, the disparity of such datasets makes this a non-trivial task. Here, a machine le...

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Detalles Bibliográficos
Autores principales: Shishegar, Rosita, Cox, Timothy, Rolls, David, Bourgeat, Pierrick, Doré, Vincent, Lamb, Fiona, Robertson, Joanne, Laws, Simon M., Porter, Tenielle, Fripp, Jurgen, Tosun, Duygu, Maruff, Paul, Savage, Greg, Rowe, Christopher C., Masters, Colin L., Weiner, Michael W., Villemagne, Victor L., Burnham, Samantha C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664816/
https://www.ncbi.nlm.nih.gov/pubmed/34893624
http://dx.doi.org/10.1038/s41598-021-02827-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664816/
https://www.ncbi.nlm.nih.gov/pubmed/34893624
http://dx.doi.org/10.1038/s41598-021-02827-6

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