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
Accelerometry data in health research: challenges and opportunities: review and examples
M Karas, J Bai, M Strączkiewicz, J Harezlak, NW Glynn, T Harris, ...
Statistics in biosciences 11, 210-237, 2019
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
Movelets: A dictionary of movement
J Bai, J Goldsmith, B Caffo, TA Glass, CM Crainiceanu
Electronic Journal of Statistics 6, 559-578, 2012
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
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
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, 371-402, 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), 1038, 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
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
Comparison of accelerometry-based measures of physical activity: Retrospective observational data analysis study
M Karas, J Muschelli, A Leroux, JK Urbanek, AA Wanigatunga, J Bai, ...
JMIR mHealth and uHealth 10 (7), e38077, 2022
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
A practical guide to big data
E Smirnova, A Ivanescu, J Bai, CM Crainiceanu
Statistics & probability letters 136, 25-29, 2018
Fetal heart rate during maternal sleep
JA DiPietro, RS Raghunathan, HT Wu, J Bai, H Watson, FP Sgambati, ...
Developmental Psychobiology 63 (5), 945-959, 2021
Brain amyloid burden, sleep, and 24-hour rest/activity rhythms: screening findings from the Anti-Amyloid Treatment in Asymptomatic Alzheimer’s and Longitudinal Evaluation of …
AP Spira, V Zipunnikov, R Raman, J Choi, J Di, J Bai, CM Carlsson, ...
Sleep Advances 2 (1), zpab015, 2021
Recurrent preterm birth risk assessment for two delivery subtypes: A multivariable analysis
I Rattsev, N Flaks-Manov, AC Jelin, J Bai, CO Taylor
Journal of the American Medical Informatics Association 29 (2), 306-320, 2022
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
Comparison of accelerometry-based measures of physical activity
M Karas, J Muschelli, A Leroux, JK Urbanek, AA Wanigatunga, J Bai, ...
MedRxiv, 2022.03. 16.22272518, 2022
Accelerometer-based prediction of activity for epidemiological research
J Bai
Johns Hopkins University, 2011
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Articles 1–20