Jiawei Bai
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Assessing the “physical cliff”: detailed quantification of age-related differences in daily patterns of physical activity
JA Schrack, V Zipunnikov, J Goldsmith, J Bai, EM Simonsick, ...
Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences …, 2014
An activity index for raw accelerometry data and its comparison with other activity metrics
J Bai, C Di, L Xiao, KR Evenson, AZ LaCroix, CM Crainiceanu, ...
PloS one 11 (8), e0160644, 2016
The evolutionary divergence of Shiga toxin-producing Escherichia coli is reflected in clustered regularly interspaced short palindromic repeat (CRISPR) spacer composition
S Yin, MA Jensen, J Bai, C DebRoy, R Barrangou, EG Dudley
Applied and environmental microbiology 79 (18), 5710-5720, 2013
Predicting human movement with multiple accelerometers using movelets
B He, J Bai, VV Zipunnikov, A Koster, P Caserotti, B Lange-Maia, ...
Medicine and science in sports and exercise 46 (9), 1859, 2014
Movelets: A dictionary of movement
J Bai, J Goldsmith, B Caffo, TA Glass, CM Crainiceanu
Electronic Journal of Statistics 6, 559-578, 2012
Normalization and extraction of interpretable metrics from raw accelerometry data
J Bai, B He, H Shou, V Zipunnikov, TA Glass, CM Crainiceanu
Biostatistics 15 (1), 102-116, 2014
Accelerometry data in health research: challenges and opportunities
M Karas, J Bai, M Strączkiewicz, J Harezlak, NW Glynn, T Harris, ...
Statistics in biosciences 11 (2), 210-237, 2019
Genome-wide prediction of DNase I hypersensitivity using gene expression
W Zhou, B Sherwood, Z Ji, Y Xue, F Du, J Bai, M Ying, H Ji
Nature communications 8 (1), 1-17, 2017
A two‐stage model for wearable device data
J Bai, Y Sun, JA Schrack, CM Crainiceanu, MC Wang
Biometrics 74 (2), 744-752, 2018
Joint and individual representation of domains of physical activity, sleep, and circadian rhythmicity
J Di, A Spira, J Bai, J Urbanek, A Leroux, M Wu, S Resnick, E Simonsick, ...
Statistics in biosciences 11 (2), 371-402, 2019
A practical guide to big data
E Smirnova, A Ivanescu, J Bai, CM Crainiceanu
Statistics & probability letters 136, 25-29, 2018
Multilevel matrix-variate analysis and its application to accelerometry-measured physical activity in clinical populations
L Huang, J Bai, A Ivanescu, T Harris, M Maurer, P Green, V Zipunnikov
Journal of the American Statistical Association, 2018
Physical activity and adiposity in a racially diverse cohort of US infants
SE Benjamin‐Neelon, J Bai, T Østbye, B Neelon, RR Pate, C Crainiceanu
Obesity 28 (3), 631-637, 2020
Str aczkiewicz
M Karas, J Bai
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Fetal heart rate during maternal sleep
JA DiPietro, RS Raghunathan, HT Wu, J Bai, H Watson, FP Sgambati, ...
Developmental psychobiology, 2021
Methods for Step Count Data: Determining “Valid” Days and Quantifying Fragmentation of Walking Bouts
L Reider, J Bai, DO Scharfstein, V Zipunnikov, ...
Gait & Posture 81, 205-212, 2020
Accelerometry data in health research: challenges and opportunities: Review and examples
M Karas, J Bai, M Strączkiewicz, J Harezlak, NW Glynn, T Harris, ...
bioRxiv, 276154, 2018
Accelerometer-based prediction of activity for epidemiological research
J Bai
Johns Hopkins University, 2011
An activity index for raw accelerometry data and its application in older adults
J Bai, C Di, L Xiao, KR Evenson, A LaCroix, C Crainiceanu, DM Buchner
Innovation in Aging 1 (Suppl 1), 1239, 2017
Discussion of the paper ‘A general framework for functional regression modelling’
J Bai, A Ivanescu, CM Crainiceanu
Statistical Modelling 17 (1-2), 36-44, 2017
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