title: Statistical considerations in the analysis of accelerometry-based activity monitor data.
abstract: We review and discuss three statistical aspects of accelerometer-based estimates of physical activity energy expenditure (PAEE):1) the nature of the relationship between accelerometer output and PAEE;2) statistical aspects of calibration studies; and 3) two specialized statistical methods that are applicable to the problem of measurement error modeling and missing data methods.We call for a continuing development of statistical methods that use more characteristics of the accelerometer signal to estimate PAEE, advocate the use of bias and SE statistics and inclusion of cross-validation in accelerometer research designs, and encourage more efforts to understand systematic and random errors in accelerometer-based estimates of PAEE.
authors.affiliation: Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA 010003, USA. jstauden@math.umass.edu.
authors.forename: John
authors.initials: J
authors.lastname: Staudenmayer
authors.forename: Weimo
authors.initials: W
authors.lastname: Zhu
authors.forename: Diane J
authors.initials: DJ
authors.lastname: Catellier
mesh_terms: D004734:Energy Metabolism / Q000502:physiology*; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation / Q000379:methods / Q000706:statistics & numerical data*; D009043:Motor Activity / Q000502:physiology*