John Staudenmayer

发表

Classification of physical activities based on sparse representation

Robert X. Gao, Shaopeng Liu, Patty S. Freedson, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Bayesian Semiparametric Density Deconvolution in the Presence of Conditionally Heteroscedastic Measurement Errors

Debdeep Pati, Abhra Sarkar, Raymond J Carroll, 2014, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

A Method To Estimate Free-living Behaviors Using High-frequency Wrist Accelerometer Data: 633 May 27 1:30 PM - 1:45 PM

Patty S. Freedson, John Staudenmayer, Robert T. Marcotte, 2020 .

Objective Assessment of Physical Activity: Classifiers for Public Health.

Gert R. G. Lanckriet, Jacqueline Kerr, John Staudenmayer, 2016, Medicine and science in sports and exercise.

A Comparison of Wrist and Hip Accelerometer Output at Different Walking Speeds

Patty S. Freedson, John Staudenmayer, Albert Mendoza, 2014 .

ZigBee-based wireless multi-sensor system for physical activity assessment

Robert X. Gao, Shaopeng Liu, Lingfei Mo, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Hip and Wrist Accelerometer Algorithms for Free-Living Behavior Classification.

Gert R. G. Lanckriet, Jacqueline Kerr, John Staudenmayer, 2016, Medicine and science in sports and exercise.

Leukemia Clusters and TCE Waste Sites in Upstate New York: How Adding Covariates Changes the Story

George Casella, John Staudenmayer, Catalina Stefanescu, 1999 .

Towards Reducing the Features used in Machine Learning Free-living Physical Activity Recognition Algorithms: 77 Board #1 June 1, 9: 30 AM - 11: 30 AM.

John Staudenmayer, Suneeta Godbole, Katherine Ellis, 2016, Medicine and science in sports and exercise.

Statistical methods to correct for observation error in a density-independent population model

John Staudenmayer, John P. Buonaccorsi, J. Staudenmayer, 2009 .

Reply to Bonomi and Plasqui

Patty S. Freedson, John Staudenmayer, Kate Lyden, 2012 .

Statistical approaches to account for missing values in accelerometer data: Applications to modeling physical activity

Jacqueline Kerr, John Staudenmayer, Loki Natarajan, 2018, Statistical methods in medical research.

data: validation on an independent sample predicting METs and activity type from accelerometer Evaluation of artificial neural network algorithms for

Pierre Jallon, Patty S. Freedson, John Staudenmayer, 2015 .

2014 Fall Colloquium

John Staudenmayer, 2014 .

Tissue Artifact Removal from Respiratory Signals Based on Empirical Mode Decomposition

Robert X. Gao, Shaopeng Liu, Dinesh John, 2013, Annals of Biomedical Engineering.

SVM-based multi-sensor fusion for free-living physical activity assessment

Robert X. Gao, Shaopeng Liu, Patty S. Freedson, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms

Gert R. G. Lanckriet, John Staudenmayer, Simon Marshall, 2014, Front. Public Health.

Simple to complex modeling of breathing volume using a motion sensor.

Dinesh John, John Staudenmayer, Patty Freedson, 2013, The Science of the total environment.

Pattern Classification Based on Sparse Representation

Robert X. Gao, Shaopeng Liu, Patty S. Freedson, 2012 .

Comparing Posture Classifications From Wearable Camera Still-images To Accelerometry: 1520 Board #114 May 28 10:30 AM - 12:00 PM

John Staudenmayer, Chris C. Cho, Scott J. Strath, 2020 .

An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer.

John Staudenmayer, Patty Freedson, Scott Crouter, 2009, Journal of applied physiology.

Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample.

John Staudenmayer, Kate Lyden, Patty S Freedson, 2011, Journal of applied physiology.

Comparison of Raw Acceleration from the GENEA and ActiGraph™ GT3X+ Activity Monitors

Patty S. Freedson, Dinesh John, John Staudenmayer, 2013, Sensors.

Development of statistical regression models for ventilation estimation

Robert X. Gao, Shaopeng Liu, John Staudenmayer, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Statistical considerations in the analysis of accelerometry-based activity monitor data.

John Staudenmayer, Weimo Zhu, Diane J Catellier, 2012, Medicine and science in sports and exercise.

Wireless Design of a Multisensor System for Physical Activity Monitoring

Robert X. Gao, Shaopeng Liu, Lingfei Mo, 2012, IEEE Transactions on Biomedical Engineering.

Multisensor Data Fusion for Physical Activity Assessment

Robert X. Gao, Shaopeng Liu, Patty S. Freedson, 2012, IEEE Transactions on Biomedical Engineering.

M-type smoothing spline ANOVA for correlated data

Li Qin, Anna Liu, John Staudenmayer, 2010, J. Multivar. Anal..

Changes in sedentary time and physical activity in response to an exercise training and/or lifestyle intervention.

John Staudenmayer, Patty Freedson, Kate Lyden, 2014, Journal of physical activity & health.

Direct observation is a valid criterion for estimating physical activity and sedentary behavior.

John Staudenmayer, Patty Freedson, Kate Lyden, 2014, Journal of physical activity & health.

The Feasibility of Reducing and Measuring Sedentary Time among Overweight, Non-Exercising Office Workers

John Staudenmayer, Patty Freedson, Sarah Kozey-Keadle, 2011, Journal of obesity.

The activPALTM Accurately Classifies Activity Intensity Categories in Healthy Adults

John Staudenmayer, Sarah Kozey Keadle, Kate Lyden, 2017, Medicine and science in sports and exercise.

AN INTERVENTION STUDY OF OUTDOOR AIR SUPPLY RATES AND SICK LEAVE AMONG OFFICE WORKERS

John Staudenmayer, Stephen N. Rudnick, Donald K. Milton, 2002 .

Methods to assess an exercise intervention trial based on 3-level functional data.

Raymond J Carroll, John Staudenmayer, Haocheng Li, 2015, Biostatistics.

Walking cadence (steps/min) and intensity in 21–40 year olds: CADENCE-adults

John Staudenmayer, John R. Sirard, Scott W. Ducharme, 2019, International Journal of Behavioral Nutrition and Physical Activity.

The activPAL TM Accurately Classifies Activity Intensity Categories in Healthy Adults.

John Staudenmayer, Sarah Kozey Keadle, Kate Lyden, 2016, Medicine and science in sports and exercise.

Measurement Error in Linear Autoregressive Models

John Staudenmayer, John P. Buonaccorsi, J. Staudenmayer, 2005 .

Improved regression models for ventilation estimation based on chest and abdomen movements

John Staudenmayer, Shaopeng Liu, Qingbo He, 2012, Physiological measurement.

The independent and combined effects of exercise training and reducing sedentary behavior on cardiometabolic risk factors.

John Staudenmayer, Kate Lyden, Amanda Hickey, 2014, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

Maternal interpersonal trauma and cord blood IgE levels in an inner-city cohort: a life-course perspective.

John Staudenmayer, Rosalind J Wright, Sheldon Cohen, 2009, The Journal of allergy and clinical immunology.

Validity of the Omron HJ-112 pedometer during treadmill walking.

John Staudenmayer, Patty S Freedson, Jeannie M. Haller, 2009, Medicine and science in sports and exercise.

A method to estimate free-living active and sedentary behavior from an accelerometer.

John Staudenmayer, Sarah Kozey Keadle, Kate Lyden, 2014, Medicine and science in sports and exercise.

Hierarchical functional data with mixed continuous and binary measurements

Raymond J Carroll, John Staudenmayer, Haocheng Li, 2014, Biometrics.

Three‐part joint modeling methods for complex functional data mixed with zero‐and‐one–inflated proportions and zero‐inflated continuous outcomes with skewness

Raymond J Carroll, John Staudenmayer, Haocheng Li, 2018, Statistics in medicine.

A study of indoor carbon dioxide levels and sick leave among office workers

John Staudenmayer, Stephen N Rudnick, J. Staudenmayer, 2002, Environmental health : a global access science source.

Local polynomial regression and simulation–extrapolation

David Ruppert, John Staudenmayer, D. Ruppert, 2004 .

Errors in MET estimates of physical activities using 3.5 ml x kg(-1) x min(-1) as the baseline oxygen consumption.

John Staudenmayer, Patty Freedson, Kate Lyden, 2010, Journal of physical activity & health.

Discussion of nonparametric and semiparametric regression

James Stephen Marron, Wensheng Guo, Jianhua Z. Huang, 2004 .

Leukemia clusters in upstate New York: how adding covariates changes the story

George Casella, John Staudenmayer, Catalina Stefanescu, 2001 .