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X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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TZID:Asia/Seoul
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TZOFFSETFROM:+0900
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DTSTART:20240101T000000
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DTSTART;TZID=Asia/Seoul:20250924T160000
DTEND;TZID=Asia/Seoul:20250924T170000
DTSTAMP:20260501T120919
CREATED:20250826T002622Z
LAST-MODIFIED:20250924T005005Z
UID:11453-1758729600-1758733200@www.ibs.re.kr
SUMMARY:Sleep as part of the 24-hour day: Methods and Applications in Oncology - Joshua Wiley
DESCRIPTION:Abstract \nSleep is commonly analysed as an independent factor. However\, because of the 24-hour constraints on a day\, changes in sleep will co-occur with changes in remaining time use. This talk introduces compositional data analysis (CoDA) for sleep research. CoDA is illustrated using 24-hour sleep and activity data from accelerometry\, first cross-sectionally showing associations between sleep and activity with daily emotions. Next\, CoDA is extended to multilevel models\, which commonly occur in sleep research as sleep across multiple days. A Bayesian implementation in R using the new multilevelcoda package is presented and results of a simulation study discussed. Multilevel CoDA is used to analyse how nightly sleep architecture\, collected via at home EEG\, predicts next day affect. CoDA solves a common constraint in sleep research with sleep stages that time in all stages sums to total sleep.
URL:https://www.ibs.re.kr/bimag/event/tbd-joshua-wiley/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2025/08/HMBrLrlLQZeLrC0q8bRL-e1756168492672.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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