Published and Accepted

W. Zhou, B. Sherwood, Z. Ji, Y. Xue, F. Du, J. Bai, M. Ying and H. Ji. Genome-wide prediction of DNase I hypersensitivity using gene expression, Nature Communications, accepted.

J. Bai, Y. Sun, J. A. Schrack, C. M. Crainiceanu and M.-C. Wang. A two-stage model for wearable device data, Biometrics, 2017; DOI: 10.1111/biom.12781.

J. Bai, A. Ivanescu and C. M. Crainiceanu. Discussion of the paper A general framework for Functional Regression Modelling, Statistical Modelling, 2017; Volume 17 (1-2): 36-44.

J. Bai, C. Di, L. Xiao, K. R. Evenson, A. Z. LaCroix, C. M. Crainiceanu and D. M. Buchner. An Activity Index for raw accelerometry data and its comparison with other activity metrics, PLoS ONE, 2016; 11(8): e0160644.

B. He, J. Bai, V. Zipunnikov, A. Koster, P. Caserotti, B. Lange-Maia, N. W. Glynn, T. B. Harris and C. M. Crainiceanu. Predicting human movement with multiple accelerometers using Movelets, Medicine & Science in Sports & Exercise, 2014 Sep; Volume 46 (9): 1859-1866.

J. A. Schrack, V. Zipunnikov, J. Goldsmith, J. Bai, E. M. Simonsick, C. M. Crainiceanu, L. Ferrucci. Assessing the "Physical Cliff:" Detailed quantification of age-related differences in daily patterns of physical activity, Journal of Gerontology: Medical Sciences, 2014; Volume 69 (8): 973-979.

J. Bai, B. He, H. Shou, V. Zipunnikov, T. A. Glass, C. M. Crainiceanu. Normalization and extraction of interpretable metrics from raw accelerometry data, Biostatistics, 2014 Jan; Volume 15 (1): 102-116.

S. Yin, M. A. Jensen, J. Bai, C. DebRoy, R. Barrangou, and E. G. Dudley. Evolutionary divergence of Shiga Toxin-producing Escherichia coli is reflected in CRISPR spacer composition, Applied and Environmental Microbiology, 2013 Sep; Volume 79 (18): 5710-5720.

J. Bai, J. Goldsmith, B. Caffo, T. A. Glass, C. M. Crainiceanu. Movelets: A dictionary of movement, Electronic Journal of Statistics, 2012; Volume 6: 559-578.

Under Review

L. Huang, J. Bai, A. Ivanescu, T. B. Harris, M. Maurer, P. Green and V. Zipunnikov. Multilevel matrix-variate analysis and its application to real-time monitoring of physical activity in clinical populations, invited for revision by Journal of the American Statistical Association.