Open AccessImputation of Missing Data When Measuring Physical Activity by Accelerometry
Author(s) -
Diane Catellier,
Peter J. Hannan,
David M. Murray,
Cheryl L. Addy,
Terry L. Conway,
Song Yang,
Janet C. Rice
Publication year - 2005
Publication title -
medicine and science in sports and exercise
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.703
H-Index - 224
eISSN - 1530-0315
pISSN - 0195-9131
DOI - 10.1249/01.mss.0000185651.59486.4e
Subject(s) - imputation (statistics) , missing data , statistics , estimator , physical activity , accelerometer , computer science , data collection , data mining , econometrics , mathematics , medicine , physical medicine and rehabilitation , operating system
We consider the issue of summarizing accelerometer activity count data accumulated over multiple days when the time interval in which the monitor is worn is not uniform for every subject on every day. The fact that counts are not being recorded during periods in which the monitor is not worn means that many common estimators of daily physical activity are biased downward.
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