Publications

A full list of my publications can be found on Google Scholar. Source code in these projects can be found on GitHub.

* Equal contribution

Peer-reviewed Publications

1.  Xia, L., Hantrakun, V., Teparrukkul, P., Wongsuvan, G., Kaewarpai, T., Dulsuk, A., Day, N. P. J., Lemaitre, R. N., Chantratita, N., Limmathurotsakul, D., Shojaie, A., Gharib, S. A. & West, T. E. (2024). Plasma metabolomics reveals distinct biological and diagnostic signatures for melioidosis. American Journal of Respiratory and Critical Care Medicine, 209(3), 288--298. [paper]

2.  Xia, L., Nan, B. & Li, Y. (2023). De-biased lasso for stratified Cox models with application to the national kidney transplant data. Annals of Applied Statistics, 17(4), 3550--3569. [arXiv] [code]

3.  Pi, H.*, Xia, L.*, Ralph, D. D., Rayner, S. G., Shojaie, A., Leary, P. J. & Gharib, S. A. (2023). Metabolomic signatures associated with pulmonary arterial hypertension outcomes. Circulation Research, 132(3), 254--266. [paper]

4.  Xia, L., Nan, B. & Li, Y. (2023). Statistical inference for Cox proportional hazards models with a diverging number of covariates. Scandinavian Journal of Statistics, 50(2), 550--571. [paper] [code]

5.  Xia, L., Nan, B. & Li, Y. (2023). De-biased lasso for generalized linear models with a diverging number of covariates. Biometrics, 79(1), 344--357. [paper] [code]

6.  Xia, L., He, K., Li, YM. & Kalbfleisch, J. D. (2022). Accounting for total variation and robustness in profiling health care providers. Biostatistics, 23(1), 257--273. [paper] [code]

7.  He, K., Dahlerus, C., Xia, L., Li, YM. & Kalbfleisch, J. D. (2020). The profile Inter-Unit Reliability. Biometrics, 76(2), 654--663. [paper]

8.  Yu, Y.*, Xia, L.*, Lee, S., Zhou, X., Stringham, H. M., Boehnke, M. & Mukherjee, B. (2018). Subset-based analysis using gene-environment interactions for discovery of genetic associations across multiple studies or phenotypes. Human Heredity, 83(6), 283--314. [paper] [code] 

9.  Kalbfleisch, J. D., He, K., Xia, L., & Li, YM. (2018). Does the Inter-Unit Reliability (IUR) measure reliability?. Health Services and Outcomes Research Methodology, 18(3), 215--225. [paper]

10.  Wagner, A. L., Xia, L., Ghosh, A., Datta, S., Pandey, P., Santra, S., Chattopadhyay, S., Nandi, U., Mazumder, T., Joshi, S., Pal, J. & Mukherjee, B. (2018). Using community health workers to refer pregnant women and young children to health care facilities in rural West Bengal, India: A prospective cohort study. PLoS ONE, 13(6), e0199607. [paper]

11.  Wagner, A. L., Xia, L., Pandey, P., Datta, S., Chattopadhyay, S., Mazumder, T., Santra, S., Nandi, U., Pal, J., Joshi, S. & Mukherjee, B. (2018). Risk factors during pregnancy and early childhood in rural West Bengal, India: A feasibility study implemented via trained community health workers using mobile data collection devices. Maternal and Child Health Journal, 22(9), 1286--1296. [paper]

Submitted Manuscripts

1.  Xia, L. & Shojaie, A. Statistical inference for high-dimensional generalized estimating equations. arXiv preprint, arXiv:2207.11686. [arXiv]

2.  Rongkard, P., Xia, L., Kronsteiner-Dobramysl, B., Yimthin, T., Phunpang, R., Dulsuk, A., Hantrakun, V.,  Wongsuvan, G., Chamnan, P., Lovelace-Macon, L., Marchi, E., Day, N. P. J., Klenerman, P., Shojaie, A., Limmathurotsakul, D., Chantratita, N., Dunachie, S. J., West, T. E. & Gharib, S. A. Transcriptional landscape of the early host response in melioidosis.

3. Pi, H., Xia, L., Boucherat, O., Suresh, K., Hemnes, A.R, Bonnet, S., Bravo, C.A., Oppegard, L., Rayner, S.G., Shojaie, A., Gharib, S.A. & Leary, P.J. Proteomic signatures of right ventricular outcomes in pulmonary arterial hypertension.

4. Coston, T.D., Xia, L., Wright, S.W., Hantrakun, V., Chamnan, P., Wongsuvan, G., Phunpang, R., Dulsuk, A., Thiansukhon, E., Shojaie, A., Chantratita, N., Limmathurotsakul, D., Gharib, S.A., & West, T.E. Pneumonia-specific plasma metabolite profiles among patients hospitalized with infection in Southeast Asia.

Technical Reports

1.  Xia, L., Nan, B. & Li, Y. (2020). A revisit to de-biased lasso for generalized linear models. arXiv preprint, arXiv:2006.12778. [arXiv]