John Staudenmayer

Summary

Affiliation: University of Massachusetts
Country: USA

Publications

  1. ncbi request reprint Measurement error in a random walk model with applications to population dynamics
    John Staudenmayer
    Department of Mathematics and Statistics, University of Massachusetts, Amherst, Massachusetts 01003, USA
    Biometrics 62:1178-89. 2006
  2. pmc A study of indoor carbon dioxide levels and sick leave among office workers
    Theodore A Myatt
    Department of Environmental Health, Harvard School of Public Health, 665 Huntington Ave, Boston, MA 02115, USA
    Environ Health 1:3. 2002
  3. ncbi request reprint Segmented regression in the presence of covariate measurement error in main study/validation study designs
    John Staudenmayer
    Department of Mathematics and Statistics, University of Massachusetts, Lederle Graduate Research Tower, Amherst, Massachusetts 01003, USA
    Biometrics 58:871-7. 2002
  4. doi request reprint Statistical considerations in the analysis of accelerometry-based activity monitor data
    John Staudenmayer
    Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA 010003, USA
    Med Sci Sports Exerc 44:S61-7. 2012
  5. pmc An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer
    John Staudenmayer
    Dept of Mathematics and Statistics, Univ of Massachusetts, Lederle Graduate Research Center, Amherst, MA 01003, USA
    J Appl Physiol (1985) 107:1300-7. 2009
  6. pmc Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample
    Patty S Freedson
    Dept of Kinesiology, University of Massachusetts, Amherst, Massachusetts, USA
    J Appl Physiol (1985) 111:1804-12. 2011
  7. doi request reprint Validity of the Omron HJ-112 pedometer during treadmill walking
    Rebecca E Hasson
    Department of Kinesiology, University of Massachusetts, Amherst, MA, USA
    Med Sci Sports Exerc 41:805-9. 2009
  8. ncbi request reprint Errors in MET estimates of physical activities using 3.5 ml x kg(-1) x min(-1) as the baseline oxygen consumption
    Sarah Kozey
    Dept of Kinesiology, University of Massachusetts, Amherst, MA, USA
    J Phys Act Health 7:508-16. 2010
  9. pmc The Feasibility of Reducing and Measuring Sedentary Time among Overweight, Non-Exercising Office Workers
    Sarah Kozey-Keadle
    Department of Kinesiology, University of Massachusetts, Amherst, MA 01003, USA
    J Obes 2012:282303. 2012
  10. doi request reprint A method to estimate free-living active and sedentary behavior from an accelerometer
    Kate Lyden
    1Department of Kinesiology, University of Massachusetts, Amherst, MA and 2Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA
    Med Sci Sports Exerc 46:386-97. 2014

Collaborators

  • Kate Lyden
  • Patty Freedson
  • Weimo Zhu
  • DONNA L SPIEGELMAN
  • Sarah Kozey-Keadle
  • David M Pober
  • Amanda Libertine
  • Sarah Kozey
  • Rebecca E Hasson
  • John P Buonaccorsi
  • Theodore A Myatt
  • Jeannie Haller
  • Maximo Carreras
  • Christopher Raphael
  • Stephen N Rudnick
  • Kate Adams
  • Donald K Milton
  • Michael Walters

Detail Information

Publications13

  1. ncbi request reprint Measurement error in a random walk model with applications to population dynamics
    John Staudenmayer
    Department of Mathematics and Statistics, University of Massachusetts, Amherst, Massachusetts 01003, USA
    Biometrics 62:1178-89. 2006
    ..We also examine the practical implications of the methods by using them to analyze two existing population dynamics data sets...
  2. pmc A study of indoor carbon dioxide levels and sick leave among office workers
    Theodore A Myatt
    Department of Environmental Health, Harvard School of Public Health, 665 Huntington Ave, Boston, MA 02115, USA
    Environ Health 1:3. 2002
    ..This study was undertaken to explore this association...
  3. ncbi request reprint Segmented regression in the presence of covariate measurement error in main study/validation study designs
    John Staudenmayer
    Department of Mathematics and Statistics, University of Massachusetts, Lederle Graduate Research Tower, Amherst, Massachusetts 01003, USA
    Biometrics 58:871-7. 2002
    ....
  4. doi request reprint Statistical considerations in the analysis of accelerometry-based activity monitor data
    John Staudenmayer
    Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA 010003, USA
    Med Sci Sports Exerc 44:S61-7. 2012
    ....
  5. pmc An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer
    John Staudenmayer
    Dept of Mathematics and Statistics, Univ of Massachusetts, Lederle Graduate Research Center, Amherst, MA 01003, USA
    J Appl Physiol (1985) 107:1300-7. 2009
    ..This novel approach of applying ANNs for processing Actigraph accelerometer data is promising and shows that we can successfully estimate activity METs and identify activity type using ANN analytic procedures...
  6. pmc Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample
    Patty S Freedson
    Dept of Kinesiology, University of Massachusetts, Amherst, Massachusetts, USA
    J Appl Physiol (1985) 111:1804-12. 2011
    ..We propose the creation of an open-access activity dictionary, including accelerometer data from a broad array of activities, leading to further improvements in prediction accuracy for METs, activity intensity, and activity type...
  7. doi request reprint Validity of the Omron HJ-112 pedometer during treadmill walking
    Rebecca E Hasson
    Department of Kinesiology, University of Massachusetts, Amherst, MA, USA
    Med Sci Sports Exerc 41:805-9. 2009
    ..The purpose of this investigation was to examine the validity of step counts measured with the Omron HJ-112 pedometer and to assess the effect of pedometer placement...
  8. ncbi request reprint Errors in MET estimates of physical activities using 3.5 ml x kg(-1) x min(-1) as the baseline oxygen consumption
    Sarah Kozey
    Dept of Kinesiology, University of Massachusetts, Amherst, MA, USA
    J Phys Act Health 7:508-16. 2010
    ..To compare intensity misclassification and activity MET values using measured RMR (measMET) compared with 3.5 ml x kg(-1) x min(-1) (standMET) and corrected METs [corrMET = mean standMET x (3.5 / Harris-Benedict RMR)] in subgroups...
  9. pmc The Feasibility of Reducing and Measuring Sedentary Time among Overweight, Non-Exercising Office Workers
    Sarah Kozey-Keadle
    Department of Kinesiology, University of Massachusetts, Amherst, MA 01003, USA
    J Obes 2012:282303. 2012
    ..These data describe ST measurement properties from wearable monitors and self-report tools to inform sample-size estimates for future ST interventions...
  10. doi request reprint A method to estimate free-living active and sedentary behavior from an accelerometer
    Kate Lyden
    1Department of Kinesiology, University of Massachusetts, Amherst, MA and 2Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA
    Med Sci Sports Exerc 46:386-97. 2014
    ..Methods to estimate physical activity (PA) and sedentary behavior (SB) from wearable monitors need to be validated in free-living settings...
  11. ncbi request reprint Development of novel techniques to classify physical activity mode using accelerometers
    David M Pober
    Department of Exercise Science, Exercise Physiology Laboratory, University of Massachusetts, Amherst, MA 01003, USA
    Med Sci Sports Exerc 38:1626-34. 2006
    ..We hypothesized that more sophisticated approaches to data processing could distinguish between activity types based on accelerometer data, providing a more accurate picture of PA...
  12. doi request reprint Validation of wearable monitors for assessing sedentary behavior
    Sarah Kozey-Keadle
    Department of Kinesiology, University of Massachusetts, Amherst, MA, USA
    Med Sci Sports Exerc 43:1561-7. 2011
    ..The purpose of this study was to examine the validity of commercially available monitors to assess SB...
  13. ncbi request reprint Modeling observation error and its effects in a random walk/extinction model
    John P Buonaccorsi
    Department of Mathematics and Statistics and Graduate Program in Organismic and Evolutionary Biology Lederle Graduate Research Tower, University of Massachusetts, Amherst MA, 01003 9305, USA
    Theor Popul Biol 70:322-35. 2006
    ..This discussion recognizes that the bias and variance in observation errors may change over time, the result of changing sampling effort or dependence on the underlying population being sampled...