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- Buysse, Daniel J., et al. Show all 5 Authors
- Journal of the American Statistical Association 2018 v.113 no.521 pp. 95-110
- actigraphy; algorithms; brain waves; elderly; phenotype; sleep; sleep disorders; statistical models; statistics
- ... In sleep research, applying finite mixture models to sleep characteristics captured through multiple data types, including self-reported sleep diary, a wrist monitor capturing movement (actigraphy), and brain waves (polysomnography), may suggest new phenotypes that reflect underlying disease mechanisms. However, a direct mixture model application is challenging because there are many sleep variabl ...