Imputation of missing data when measuring physical activity by accelerometry.

By Diane Catellier, P. Hannan, D. Murray, Cheryl L. Addy, T. Conway, Song Yang, J. Rice. Medicine & Science in Sports & Exercise, 2005

410 citations recorded by the source corpus.

Subfields: Physiology, Public Health, Environmental and Occupational Health, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/9deadfb5f4fba6c33c64d978a1bed3baa8af516e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Physiology

1. C. Matthews
2. Ulf Ekelund
3. Søren Brage
4. Patty S. Freedson
5. Macie S. Buchowski
6. K. Corder
7. Nick Wareham
8. R. Steele

In Public Health, Environmental and Occupational Health

1. C. Matthews
2. Ulf Ekelund
3. Patty S. Freedson
4. Søren Brage
5. R. Pate

Citations in the corpus

• Amount of time spent in sedentary behaviors in the United States, 2003-2004. (2008, background): “There has been some debate regarding the minimal number of days of observation required to achieve useful estimates from accelerometers in field-based studies (34, 35) and issues associated with missing data (36).”
• Assessment of physical activity in youth. (2008, methodology): “These range from exclusion of the time period (equivalent to imputation with the average of remaining data for an individual) to replacement by time-of-day specific values estimated from the remaining data on an individual or group level and various averaging schemes using scaling for weekdays and w”