LGRT 1435K


Ph.D. Cornell University, 2000

M.S. Cornell University, 1998

B.A. Williams College, 1992


Statistics, measurement error, smoothing, measurement of physical activity

Selected Publications

  • Sasaki JE, Hickey AM, Staudenmayer JW, John D, Kent JA, Freedson PS. (2016). Performance of Activity Classification Algorithms in Free-Living Older Adults. Med Sci Sports Exerc. 48(5): 941-50.
  • Kerr J, Patterson RE, Ellis K, Godbole S, Johnson E, Lanckriet G, Staudenmayer J. (2016). Objective Assessment of Physical Activity: Classifiers for Public Health. Med Sci Sports Exerc. 48(5):951-7.
  • Ellis K1, Kerr J, Godbole S, Staudenmayer J, Lanckriet G. (2016). Hip and Wrist Accelerometer Algorithms for Free-Living Behavior Classification. Med Sci Sports Exerc. 48(5): 933-40.
  • Li, H, Kozey-Keadle, S, Staudenmayer, J, Assaad, H, Huang, J, Carroll, RJ. (2015). Methods for three-level functional data to assess an exercise intervention trial. Biostatistics. 16(4): 754-71.
  • Staudenmayer, J, He, S, Hickey, A, Sasaki, J, Freedson PS. (2015). Methods to estimate aspects of physical activity and sedentary behavior from high frequency wrist accelerometer measurements. Journal of Applied Physiology. 119(4): 396-403.
  • Lyden, K, Kozey-Keadle, S, Staudenmayer, J, Braun, B, Freedson PS. (2015). Discrete features of sedentary behavior impact markers of cardiometabolic health. Medicine and Science in Sports and Exercise. 47(5): 1079-86.
  • Li, H, Staudenmayer, J, Carroll, RJ. (2014). Hierarchical functional data with mixed continuous and binary measurements. Biometrics. 70(4):802-11.
  • Ellis, K, Godbole, S, Marshall, S, Lanckriet, G, Staudenmayer, J and Kerr, J. (2014). Identifying active travel behaviors in challenging environments using GPS, accelerometers, and machine learning algorithms. Front. Public Health. Volume 2.
  • Sarkar, A, Mallick, B, Staudenmayer, J, Pati, D, Carroll, RJ. (2014). Bayesian Semiparametric Density Deconvolution in the Presence of Conditionally Heteroscedastic Measurement Errors. Journal of Computational and Graphical Statistics. 23(4):1101-1125.