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.
1Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA; 2Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, IL; and 3Department of Biostatistics, University of North Carolina, Chapel Hill, NC
Address for correspondence: John Staudenmayer, Ph.D., Department of Mathematics and Statistics, University of Massachusetts, Amherst, Lederle Graduate Research Tower, Amherst, MA 01003; E-mail: email@example.com.