Identifying IN and OUT of bedtimes in patients with advanced cancer using self-reported methods, accelerometry and automated algorithms: Implications for measures of sleep and circadian rhythmicity
- DOI
- 10.1080/07420528.2026.2703831
- Published
- 2026-07-21
- Container
- Chronobiology International
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/07420528.2026.2703831,
title = {Identifying IN and OUT of bedtimes in patients with advanced cancer using self-reported methods, accelerometry and automated algorithms: Implications for measures of sleep and circadian rhythmicity},
author = {Craig Gouldthorpe and Andrew Davies},
year = {2026},
journal = {Chronobiology International},
doi = {10.1080/07420528.2026.2703831},
url = {https://doi.org/10.1080/07420528.2026.2703831}
}RIS
TY - JOUR TI - Identifying IN and OUT of bedtimes in patients with advanced cancer using self-reported methods, accelerometry and automated algorithms: Implications for measures of sleep and circadian rhythmicity AU - Craig Gouldthorpe AU - Andrew Davies PY - 2026 JO - Chronobiology International DO - 10.1080/07420528.2026.2703831 UR - https://doi.org/10.1080/07420528.2026.2703831 ER -
APA
Gouldthorpe, C., & Davies, A. (2026). Identifying IN and OUT of bedtimes in patients with advanced cancer using self-reported methods, accelerometry and automated algorithms: Implications for measures of sleep and circadian rhythmicity. Chronobiology International. https://doi.org/10.1080/07420528.2026.2703831
Source records
- crossref · retrieved 2026-09-25T19:14:33.234Z