Here is a complete list of the publications from Professor Pang Du's research group.

Research Publications

• Cho, Y., Hong, Y., and Du, P. (2025). An accurate computational approach for partial likelihood using Poisson-binomial distributions. Computational Statistics and Data Analysis, to appear. (The R package ExactCoxPBD)
• Sands, L. P., Lee, L., Zhu, X., Khan, M., and Du, P. (2025). Risks and outcomes of new onset of unmet need for mobility and self-care daily activities. The Gerontologist 65(2), gnae154.
• Cho, Y., Do, Q., Du, P., and Hong, Y. (2024). Reliability study of battery lives: A functional degradation analysis approach. Annals of Applied Statistics 18(4), 3185-3204.
• Du, Z., Du, P., and Liu, A. (2024). Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities. Statistics in Medicine 43(7), 1372–1383.
• Leung, J. M., Rojas, J. C., Sands, L. P., Chan, B., Rajbanshi, B., Du, Z., Du, P., and the Perioperative Medicine Research Group (2024). Plasma SOMAmer proteomics of postoperative delirium. Brain and Behavior 14(2), e3422.
• Jin, Z., Min, J., Hong, Y., Du, P., and Yang, Q. (2024). Multivariate functional clustering with variable selection and application to sensor data from engineering systems. INFORMS Journal on Data Science 3(2), 203-218.
• Do, Q. and Du, P. (2024). Contrast tests for groups of functional data. Canadian Journal of Statistics 52(3), 713-733.
• Xing, X., Shang, Z., Du, P., Ma, P., Zhong, W., and Liu, J. S. (2023). Minimax nonparametric multi-sample test under smoothing. Statistica Sinica, to appear.
• Du, P., Parmeter, C. F., and Racine, J. S. (2023). Shape constrained kernel PDF and PMF estimation. Statistica Sinica, to appear.
• Leung, J. M., Rojas, J. C., Tang, C., Chan, B., Lario-Lago, A., Boxer, A. L., Do, Q., Kramer, J. H., Du, Z., Du, P., Sands, L. P., Perioperative Medicine Research Group (2023). Presence of preoperative neurodegeneration biofluid markers in patients with postoperative delirium. Anesthesiology 139, 432-443.
• Jin, H., Sun, X., and Du, P. (2023). Optimal function-on-function regression with interaction between functional predictors. Statistica Sinica 33(2), 1047-1068.
• Robertson, J., Senger, R., Talty, J., Du, P., Sayed Issa, A., Avellar, M., Ngo, L., Gomez de la Espriella, M., Fazili, T., Jackson-Akers, J., Guruli, G. (2022). Alterations in the molecular composition of COVID-19 patient urine, detected using Raman spectroscopic/computational analysis. PloS ONE 17(7): e0270914.
• De Vita, R., Huntington, A., Udayasuryan, B., Du, P., Verbridge, S., and Abramowitch, S. (2022). Smooth muscle organization and nerves in the rat vagina: a first look using tissue clearing and immunolabeling. Annals of Biomedical Engineering 50(4), 440-451.
• Xu, Y., Du, P., Robertson, J., and Senger, R. (2022). Sparse logistic regression on functional data. Statistics and Its Interface 15(2), 171-179.
• Du, P. (2022). Invited discussion of ``Estimation of Hilbertian varying coefficient models" by Lee, Park, Hong and Kim. Statistics and Its Interface 15(2), 151-151.
• Sands, L. P., Do, Q., Du, P., and Pruchno, R. (2022). Peritraumatic stress from a disaster increases risk for onset of chronic diseases among older adults. Innovation in Aging 6(1), 1-11.
• Sands, L. P., Do, Q., Du, P., Xu, Y., and Pruchno, R. (2022). Long term impact of Hurricane Sandy on hospital admissions of older adults. Social Science and Medicine 293, 114659.
• Guron, G. K., Chen, C., Du, P., Pruden, A., and Ponder, M. (2021). Manure-based amendments influence surface-associated bacteria and markers of antibiotic resistance on radishes grown in soils with different textures. Applied and Environmental Microbiology 87(10), e02753-20.
• Tabatabai, S., Do, Q., Min, J., Tang, C. J., Pleasants, D., Sands, L. P., Du, P., and Leung, J. M. (2021). Obesity and perioperative outcomes in older surgical patients undergoing elective spine and major arthroplasty surgery. Journal of Clinical Anesthesia 75, 110475.
• Charlton, J., Du, P., and Xu, S. (2021). A new method for inferring ground-truth labels and malware detector effectiveness metrics. The International Conference on Science of Cyber Security - SciSec 2021.
• Wang, L., Du, P., and Jin, R. (2021). MOSS: multi-modal best subset modeling in smart manufacturing. Sensors 21(1), 1-18.
• Xu, Y., Du, P., Senger, R., Robertson, J., and Pirkle, J. (2021). ISREA: An efficient peak-preserving baseline correction algorithm for Raman spectra. Applied Spectroscopy 75(1): 34-45.
• Sun, J., Du, P., Miao, H., and Liang, H. (2020). Robust feature screening procedures for single and mixed types of data. Journal of Statistical Computation and Simulation 90(7), 1173-1193.
• Huttanus, H.M., Vu, T., Guruli, G., Tracey, A., Carswell, W., Said, N., Du, P., Parkinson, B.G., Orlando, G., and Robertson, J.L. (2020). Raman chemometric urinalysis (Rametrix) as a screen for bladder cancer, PLoS ONE 15(8), e0237070.
• Senger, R. S., Sullivan, M., Gouldin, A., Lundgren, S., Merrifield, K., Steen, C., Baker, E., Vu, T., Agnor, B., Martinez, G., Coogan, H., Carswell, W., Kavuru, V., Karageorge, L., Dev, D., Du, P., Sklar, A., Pirkle, J., Guelich, S., Orlando, G., and Robertson, J. L. (2020). Spectral characteristics of urine from patients with end-stage kidney disease analyzed using Raman chemometric urinalysis (Rametrix), PLoS ONE 15(1), e0227281.
• Li, M., Knolton, K., Pruden, A., Ponder, M., Xia, K., Teets, C., and Du, P. (2020). Fate of pirlimycin and antibiotic resistance genes in dairy manure slurries in response to temperature and pH adjustment. Science of Total Environment 710: 136310.
• Gao, Z., Du, P., Jin, R., and Robertson, J. L. (2020). Surface temperature monitoring in liver procurement via functional variance change point analysis, Annals of Applied Statistics 14(1), 143-159.
• Chen, C., Pankow, C. A., Oh, M., Heath, L. S., Zhang, L., Du, P., Xia, K., and Pruden, A.(2019). Effect of antibiotic use and composting on antibiotic resistance gene abundance and resistome risks of soils receiving manure-derived amendments, Environmental International 128, 233-243.
• Senger, R. S., Kavuru, V., Sullivan, M., Gouldin, A., Lundgren, S., Merrifield, K., Steen, C., Baker, E., Vu, T., Agnor, B., Martinez, G., Coogan, H., Carswell, W., Karageorge, L., Dev, D., Du, P., Sklar, A., Orlando, G., Pirkle, J., and Robertson, J. L. (2019). Spectral characteristics of urine specimens from healthy human volunteers analyzed using Raman chemometric urinalysis (Rametrix), PLoS ONE 14(9), e0222115.
• Gao, Z., Shang, Z., Du, P., and Robertson, J. L. (2019). Variance change point detection under a smoothly-changing mean trend with application to liver procurement, Journal of the American Statistical Association 114(526), 773-781.
• Chen, C., Guron, G. K., Pruden, A., Ponder, M., Du, P., and Xia, K. (2018). Antibiotics and antibiotic resistance genes in bulk and rhizosphere soils subject to manure amendment and vegetable cultivation, Journal of Environmental Quality 47(6), 1318-1326.
• Charlton, J., Du, P., Cho, J.-H., and Xu, S. (2018). Measuring relative accuracy of malware detectors in the absence of ground truth, IEEE MILCOM 2018.
• Du, P., Sun, Z, Chen, H., Cho, J.-H., and Xu, S. (2018). Statistical estimation of malware detection metrics in the absence of ground truth, IEEE Transactions on Information Forensics and Security 13(12), 2965-2980.
• Wind, L., Krometis, L.-A., Hession, W. C., Chen, C., Du, P., Jacobs, K., Xia, K., and Pruden, A. (2018). Fate of pirlimycin and antibiotic-resistant fecal coliforms in field plots amended with dairy maure or compost during vegetable cultivation, Journal of Environmental Quality 47, 436-444.
• Chen, T. and Du, P. (2018). Promotion time cure rate model with nonparametric form of covariate effects, Statistics in Medicine 37(10), 1625-1635.
• Chen, T. and Du, P. (2018). Mixture cure rate models with accelerated failures and nonparametric form of covariate effects, Journal of Nonparametric Statistics 30(1), 216-237.
• Sun, X., Du, P., Wang, X., and Ma, P. (2018). Optimal penalized function-on-function regression under a reproducing kernel Hilbert space framework, Journal of the American Statistical Association 113(524), 1601-1611.
• Du, P. (2014). Discussion of "Sparse semiparametric nonlinear model with application to chromatographic fingerprints" by Wierzbicki, Guo, Du and Guo, Journal of the American Statistical Association 109, 1349-1350.
• Lian, H., Du, P., Li, Y., and Liang, H. (2014). Partially linear structure identification in generalized additive models with NP-dimensionality, Computational Statistics and Data Analysis 80, 197-208.
• Du, P., Wu, P., and Liang, H. (2014). Variable selection for ultra-high-dimensional logistic models, Contemporary Mathematics: Perspectives on Big Data Analysis 622, 141-158.
• Searle, C. L., Belden, L. K., Du, P., and Blaustein, A. R. (2014). Stress and chytridiomycosis: Exogenous exposure to corticosterone does not alter amphibian susceptibility to a fungal pathogen, Journal of Experimental Zoology Part A: Ecological Genetics and Physiology 321(5), 243-253.
• Chen, Y., Du, P., and Wang, Y. (2014). Variable selection in linear models, WIREs Computational Statistics 6, 1-9.
  (a "hopefully" comprehensive review of variable selection for linear regression models)
• Du, P. and Wang, X. (2014). Penalized likelihood functional regression, Statistica Sinica 24(2), 1017-1041. (program available at the journal site)
• Wang, X., Du, P., and Shen, J. (2013). Smoothing splines with varying smoothing parameter, Biometrika 100(4), 955-970. (send us an email for the program used in the paper)
• Chambers, D. L., Wojdak, J. M., Du, P., and Belden, L. K. (2013). Pond acidification may explain differences in corticosterone among salamander populations, Physiological and Biochemical Zoology 2013(2), 224-232.
• Du, P., Parmeter, C. F., and Racine, J. S. (2013). Nonparametric kernel regression with multiple predictors and multiple shape constraints, Statistica Sinica 23(3), 1347-1371.
• Du, P. (2012). Invited book review for "Smoothing Splines: Methods and Applications" by Yuedong Wang, Biometrics 68(4), 1327-1328.
• Liang, H. and Du, P. (2012). Maximum likelihood estimation in logistic regression models with a diverging number of covariates, Electronic Journal of Statistics 6, 1838-1846.
• Du, P., Cheng, G., and Liang, H. (2012). Semiparametric regression models with additive nonparametric components and high dimensional parametric components, Computational Statistics and Data Analysis 56(6), 2006-2017.
• Wang, L., Du, P., and Liang, H. (2012). Two-component mixture cure rate model with spline estimated nonparametric components, Biometrics 68, 726-735.
• Ma, S. and Du, P. (2012). Variable selection in partly linear regression model with diverging dimensions for right censored data, Statistica Sinica 22, 1003-1020.
• Chambers, D. L., Wojdak, J. M., Du, P., and Belden, L. K. (2011). Corticosterone level changes throughout larval development in the amphibians Rana sylvatica and Ambystoma jeffersoniannum, Copeia 2011(4), 530-538.
• Du, P., Jiang, Y., and Wang, Y. (2011). Smoothing spline ANOVA frailty model for recurrent event data, Biometrics 67, 1330-1339.
• Tang, L., Du, P., and Wu, C. (2010). Compare diagnostic tests using transformation-invariant smoothed ROC curves, Journal of Statistical Planning and Inference 140, 3540-3551.
• Du, P. and Ma, S. (2010). Frailty model with spline estimated nonparametric hazard function, Statistica Sinica 20(2), 561-581.
• Woodall, W. H., Birch, J. B., and Du, P. (2010). Discussion of "Nonparametric profile monitoring by mixed effects modeling" by Qiu, Zou and Wang, Technometrics 52, 285-287.
• Du, P., Ma, S., and Liang, H. (2010). Penalized variable selection procedure for Cox models with semiparametric relative risk, Annals of Statistics 38, 2092-2117.
• Du, P. and Tang, L. (2009). Transformation-invariant and nonparametric monotone smooth estimation of ROC curves, Statistics in Medicine 28: 349-359.
• Du, P. (2009). Nonparametric modeling of the gap time in recurrent event data, Lifetime Data Analysis 15: 256-277.
• Du, P. and Gu, C. (2009). Penalized pseudo-likelihood hazard estimation: a fast alternative to penalized likelihood, Journal of Statistical Planning and Inference 139: 891-899.
• Du, P. and Gu, C. (2006). Penalized likelihood hazard estimation: efficient approximation and Bayesian confidence intervals, Statistics and Probability Letters 76: 244-254.