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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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