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John Staudenmayer

Showing results (1-10 of 67) with videos related to

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Biometrics|December 24, 2002
Segmented regression in the presence of covariate measurement error in main study/validation study designsJohn Staudenmayer, Donna Spiegelman
Biometrics|December 13, 2006
Measurement error in a random walk model with applications to population dynamicsJohn Staudenmayer, John P Buonaccorsi
The Science of the Total Environment|April 2, 2013
Simple to complex modeling of breathing volume using a motion sensorDinesh John, John Staudenmayer, Patty Freedson
Medicine and Science in Sports and Exercise|December 14, 2011
Statistical considerations in the analysis of accelerometry-based activity monitor dataJohn Staudenmayer, Weimo Zhu, Diane J Catellier
Theoretical Population Biology|April 4, 2006
Modeling observation error and its effects in a random walk/extinction modelJohn P Buonaccorsi, John Staudenmayer, Maximo Carreras
Biometrics|August 20, 2014
Hierarchical functional data with mixed continuous and binary measurementsHaocheng Li, John Staudenmayer, Raymond J Carroll
Journal of Physical Activity & Health|August 1, 2014
Direct observation is a valid criterion for estimating physical activity and sedentary behaviorKate Lyden, Natalia Petruski, John Staudenmayer, et al.
Journal of Physical Activity & Health|August 5, 2010
Errors in MET estimates of physical activities using 3.5 ml x kg(-1) x min(-1) as the baseline oxygen consumptionSarah Kozey, Kate Lyden, John Staudenmayer, et al.
Journal of Obesity|December 17, 2011
The Feasibility of Reducing and Measuring Sedentary Time among Overweight, Non-Exercising Office WorkersSarah Kozey-Keadle, Amanda Libertine, John Staudenmayer, et al.
Medicine and Science in Sports and Exercise|July 18, 2013
A method to estimate free-living active and sedentary behavior from an accelerometerKate Lyden, Sarah Kozey Keadle, John Staudenmayer, et al.
Pageof 7

Showing results (1-10 of 67) with videos related to

Sort By:
Pageof 7
Biometrics|December 24, 2002
Segmented regression in the presence of covariate measurement error in main study/validation study designsJohn Staudenmayer, Donna Spiegelman
Biometrics|December 13, 2006
Measurement error in a random walk model with applications to population dynamicsJohn Staudenmayer, John P Buonaccorsi
The Science of the Total Environment|April 2, 2013
Simple to complex modeling of breathing volume using a motion sensorDinesh John, John Staudenmayer, Patty Freedson
Medicine and Science in Sports and Exercise|December 14, 2011
Statistical considerations in the analysis of accelerometry-based activity monitor dataJohn Staudenmayer, Weimo Zhu, Diane J Catellier
Theoretical Population Biology|April 4, 2006
Modeling observation error and its effects in a random walk/extinction modelJohn P Buonaccorsi, John Staudenmayer, Maximo Carreras
Biometrics|August 20, 2014
Hierarchical functional data with mixed continuous and binary measurementsHaocheng Li, John Staudenmayer, Raymond J Carroll
Journal of Physical Activity & Health|August 1, 2014
Direct observation is a valid criterion for estimating physical activity and sedentary behaviorKate Lyden, Natalia Petruski, John Staudenmayer, et al.
Journal of Physical Activity & Health|August 5, 2010
Errors in MET estimates of physical activities using 3.5 ml x kg(-1) x min(-1) as the baseline oxygen consumptionSarah Kozey, Kate Lyden, John Staudenmayer, et al.
Journal of Obesity|December 17, 2011
The Feasibility of Reducing and Measuring Sedentary Time among Overweight, Non-Exercising Office WorkersSarah Kozey-Keadle, Amanda Libertine, John Staudenmayer, et al.
Medicine and Science in Sports and Exercise|July 18, 2013
A method to estimate free-living active and sedentary behavior from an accelerometerKate Lyden, Sarah Kozey Keadle, John Staudenmayer, et al.
Pageof 7